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 multiprocessing
from typing import List, Tuple, Union
import dask.dataframe as dd
import pandas as pd
from dagster import Out
from gensim.models.doc2vec import Doc2Vec, TaggedDocument
from pandas.core.frame import DataFrame
from qdk.dagster_types import DataFrameType, ModelType
from qdk.training.word2vec import... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/training/doc2vec.py | 0.915122 | 0.414662 | doc2vec.py | pypi |
import math
import time
from .version import __version__
_BUFFER_SIZE = 512
def time_ms():
return time.time_ns() // 1_000_000
class Estimator:
"""Estimator estimates quantile values from sample streams in a time- and
memory-efficient manner subject to allowed error constraints.
"""
def __init_... | /quantile-estimator-0.1.2.tar.gz/quantile-estimator-0.1.2/quantile_estimator/__init__.py | 0.91372 | 0.491761 | __init__.py | pypi |
import math
_BUFFER_SIZE = 512
class Estimator(object):
"""Estimator estimates quantile values from sample streams in a time- and
memory-efficient manner subject to allowed error constraints.
"""
def __init__(self, *invariants):
"""Initialize an Estimator.
Estimator is not concurrenc... | /quantile-python-1.1.tar.gz/quantile-python-1.1/quantile/__init__.py | 0.934039 | 0.586848 | __init__.py | pypi |
import tensorflow as tf
import numpy as np
from collections import namedtuple
from .interpolate_tf import InterpolatorTF, nonzero
InterpolatorsTuple = namedtuple(
"InterpolatorsTuple",
[
"quantiles_to_references_forward",
"quantiles_to_references_backward",
"references_to_quantiles",
... | /quantile_transformer_tf-1.2.tar.gz/quantile_transformer_tf-1.2/quantile_transformer_tf/quantile_transform_tf.py | 0.931898 | 0.498474 | quantile_transform_tf.py | pypi |
QuantiPhy — Physical Quantities
===============================
.. image:: https://pepy.tech/badge/quantiphy/month
:target: https://pepy.tech/project/quantiphy
.. image:: https://img.shields.io/readthedocs/quantiphy.svg
:target: https://quantiphy.readthedocs.io/en/latest/?badge=latest
.. image:: https://githu... | /quantiphy-2.18.0.tar.gz/quantiphy-2.18.0/README.rst | 0.945851 | 0.706823 | README.rst | pypi |
from six import StringIO
from quantiphyse.data import DataGrid, NumpyData, QpData
from quantiphyse.utils import QpException
from quantiphyse.utils.cmdline import OutputStreamMonitor, LogProcess
METADATA_ATTRS = ["iaf", "ibf", "order", "tis", "plds", "rpts", "taus", "tau", "bolus", "casl", "nphases", "nenc", "slicedt"... | /quantiphyse-asl-0.9.3.post2.tar.gz/quantiphyse-asl-0.9.3.post2/quantiphyse_basil/oxasl_process.py | 0.538983 | 0.338924 | oxasl_process.py | pypi |
__version__ = '0.9.3.post2'
__timestamp__ = 'Tue Oct 12 13:06:18 2021 +0100'
__license__ = '''
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
... | /quantiphyse-asl-0.9.3.post2.tar.gz/quantiphyse-asl-0.9.3.post2/quantiphyse_basil/_version.py | 0.722233 | 0.321673 | _version.py | pypi |
from __future__ import division, unicode_literals, absolute_import
import numpy as np
from PySide2 import QtGui, QtCore, QtWidgets
from quantiphyse.gui.options import OptionBox, ChoiceOption, NumericOption, BoolOption, DataOption, FileOption, TextOption
from quantiphyse.gui.widgets import QpWidget, TitleWidget, Cita... | /quantiphyse-asl-0.9.3.post2.tar.gz/quantiphyse-asl-0.9.3.post2/quantiphyse_basil/oxasl_widgets.py | 0.738858 | 0.185154 | oxasl_widgets.py | pypi |
from __future__ import division, unicode_literals, absolute_import
import itertools
import traceback
import numpy as np
import scipy
from PySide2 import QtGui, QtCore, QtWidgets
from quantiphyse.gui.widgets import OverlayCombo, ChoiceOption, NumericOption, OrderList, OrderListButtons, WarningBox
import quantiphyse.g... | /quantiphyse-asl-0.9.3.post2.tar.gz/quantiphyse-asl-0.9.3.post2/quantiphyse_basil/aslimage_widget.py | 0.614972 | 0.229557 | aslimage_widget.py | pypi |
import numpy as np
from quantiphyse.data import NumpyData
from quantiphyse.processes import Process
from quantiphyse.utils import QpException
from .data_models import get_data_models
from .struc_models import get_struc_models
class DataSimProcess(Process):
"""
Calculate CBF from R2P / DBV output
"""
... | /quantiphyse-datasim-0.1.0.tar.gz/quantiphyse-datasim-0.1.0/quantiphyse_datasim/process.py | 0.5083 | 0.207998 | process.py | pypi |
import sys
import logging
import traceback
import numpy as np
from quantiphyse.utils import QpException
from quantiphyse.processes import Process
from .pk_model import PyPk
LOG = logging.getLogger(__name__)
def _run_pk(worker_id, queue, data, t1, r1, r2, delt, injt, tr1, te1, dce_flip_angle, dose, model_choice):
... | /quantiphyse-dce-0.9.2.post3.tar.gz/quantiphyse-dce-0.9.2.post3/quantiphyse_dce/process.py | 0.42656 | 0.343012 | process.py | pypi |
import sys
import os
import re
import logging
import math
import numpy as np
from quantiphyse.data import DataGrid
from quantiphyse.processes import Process
from quantiphyse.utils import get_plugins, QpException
LOG = logging.getLogger(__name__)
# Maximum size of Fabber log that we are prepared to handle
MAX_LOG_SI... | /quantiphyse-fabber-0.9.2.tar.gz/quantiphyse-fabber-0.9.2/quantiphyse_fabber/process.py | 0.451085 | 0.18881 | process.py | pypi |
import os
import six
from PySide2 import QtGui, QtCore, QtWidgets
from quantiphyse.data import QpData, DataGrid, NumpyData
from quantiphyse.gui.widgets import Citation
from quantiphyse.gui.options import OptionBox, ChoiceOption, NumericOption
from quantiphyse.utils import get_plugins
from quantiphyse.utils.exceptions... | /quantiphyse-fsl-0.9.2.post11.tar.gz/quantiphyse-fsl-0.9.2.post11/quantiphyse_fsl/flirt.py | 0.686265 | 0.330134 | flirt.py | pypi |
import csv
import six
import numpy as np
from quantiphyse.data.extras import Extra
from quantiphyse.utils import get_plugins
RegMethod = get_plugins("base-classes", class_name="RegMethod")[0]
class FlirtTransform(Extra):
"""
An Extra which defines a Flirt transformation
"""
def __init__(self, ref_g... | /quantiphyse-fsl-0.9.2.post11.tar.gz/quantiphyse-fsl-0.9.2.post11/quantiphyse_fsl/flirt_transform.py | 0.801431 | 0.446917 | flirt_transform.py | pypi |
import os
import re
import traceback
import numpy as np
from quantiphyse.data import QpData, NumpyData, DataGrid
from quantiphyse.processes import Process
from quantiphyse.utils import QpException
from quantiphyse.utils.cmdline import OutputStreamMonitor
_LOAD = "Pickleable replacement for fsl.wrappers.LOAD special ... | /quantiphyse-fsl-0.9.2.post11.tar.gz/quantiphyse-fsl-0.9.2.post11/quantiphyse_fsl/process.py | 0.403097 | 0.2116 | process.py | pypi |
try:
from PySide import QtGui, QtCore, QtGui as QtWidgets
except ImportError:
from PySide2 import QtGui, QtCore, QtWidgets
from quantiphyse.gui.widgets import QpWidget, TitleWidget, Citation, OverlayCombo, RoiCombo, NumericOption
from .process import SupervoxelsProcess
CITE_TITLE = "maskSLIC: Regional Superp... | /quantiphyse-sv-0.9.1.post1.tar.gz/quantiphyse-sv-0.9.1.post1/quantiphyse_sv/widgets.py | 0.579995 | 0.160891 | widgets.py | pypi |
# Quantipy3
### Python for people data
Quantipy is an open-source data processing, analysis and reporting software project that builds on the excellent pandas and numpy libraries. Aimed at people data, Quantipy offers support for native handling of special data types like multiple choice variables, statistical analysi... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/README.md | 0.658747 | 0.890818 | README.md | pypi |
import os
import collections
from savReaderWriter import *
from header import *
@implements_to_string
class SavHeaderReader(Header):
"""
This class contains methods that read the data dictionary of an SPSS
data file. This yields the same information as the Spss command 'DISPLAY
DICTIONARY' NB: do not... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/savReaderWriter/savHeaderReader.py | 0.538741 | 0.266438 | savHeaderReader.py | pypi |
from ctypes import *
import os
import operator
import locale
import datetime
import collections
from savReaderWriter import *
from header import *
@rich_comparison
@implements_to_string
class SavReader(Header):
""" Read Spss system files (.sav, .zsav)
Parameters:
-savFileName: the file name of the spss ... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/savReaderWriter/savReader.py | 0.675015 | 0.286506 | savReader.py | pypi |
import numpy as np
import pandas as pd
import quantipy as qp
from collections import OrderedDict
from quantipy.core.tools.qp_decorators import *
import copy as org_copy
import warnings
import re
from quantipy.core.tools.view.logic import (
has_any, has_all, has_count,
not_any, not_all, not_count,
is_lt,... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/batch.py | 0.494385 | 0.199172 | batch.py | pypi |
from .chain import Chain
import pickle
from collections import OrderedDict
import pandas as pd
import copy
from quantipy.core.tools.view.query import get_dataframe
from quantipy.core.helpers.functions import get_text
import os
class Cluster(OrderedDict):
"""
Container class in form of an OrderedDict of Chains.... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/cluster.py | 0.595493 | 0.20046 | cluster.py | pypi |
import numpy as np
from .view_generators.view_maps import QuantipyViews as View
class Link(dict):
"""
The Link object is a subclassed dictionary that generates an instance of
Pandas.DataFrame for every view method applied
"""
def __init__(self,
the_filter,
y,
... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/link.py | 0.637708 | 0.344195 | link.py | pypi |
import pickle
from collections import defaultdict
from .helpers import functions as helpers
from .view import View
import pandas as pd
import copy
class Chain(defaultdict):
"""
Container class that holds ordered Link defintions and associated Views.
The Chain object is a subclassed dict of list where each... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/chain.py | 0.683842 | 0.216943 | chain.py | pypi |
from .view_mapper import ViewMapper
from quantipy.core.view import View
import pandas as pd
import numpy as np
import copy
import traceback
import warnings
from collections import defaultdict
from itertools import combinations
from operator import add, sub, mul
from operator import truediv as div
from quantipy.core.t... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/view_generators/view_maps.py | 0.702632 | 0.160299 | view_maps.py | pypi |
import pandas as pd
from quantipy.core.tools.qp_decorators import modify
from collections import OrderedDict
from itertools import chain
from operator import add, sub, mul
from operator import truediv as div
import re
import warnings
class ViewManager(object):
def __init__(self, stack):
self.stack = stack... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/view_generators/view_specs.py | 0.820433 | 0.296107 | view_specs.py | pypi |
import marshal
import copy
from types import FunctionType
from collections import OrderedDict
from itertools import product
import quantipy as qp
class ViewMapper(OrderedDict):
"""
Applies View computation results to Links based on the view method's
kwargs, handling the coordination and structuring side of... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/view_generators/view_mapper.py | 0.711631 | 0.309871 | view_mapper.py | pypi |
from __future__ import (
absolute_import, division, print_function, unicode_literals
)
import numpy as np
import pandas as pd
from pptx.chart.data import CategoryChartData
from pptx.enum.chart import XL_CHART_TYPE
def ChartData_from_DataFrame(df, number_format="0%", xl_number_format='0.00%'):
"""
Return ... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/builds/powerpoint/helpers.py | 0.68215 | 0.510374 | helpers.py | pypi |
import pickle
from itertools import chain, combinations
DESCRIPTIVES = [
'DESCRIPTIVES',
'bg-DESCRIPTIVES',
'DESCRIPTIVES-XT',
'bg-DESCRIPTIVES-XT',
'brow-DESCRIPTIVES',
'mrow-DESCRIPTIVES',
'frow-DESCRIPTIVES']
DEFAULT = [
'DEFAULT',
'bg-DEFAULT',
'frow-bg-DEFAULT']
BASE = ['... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/builds/excel/formats/xlsx_formats.py | 0.597373 | 0.179638 | xlsx_formats.py | pypi |
import pandas as pd
import quantipy as qp
import re
def get_views(qp_structure):
''' Generator replacement for nested loops to return all view objects
stored in a given qp container structure.
Currently supports chain-classed shapes and cluster objects natively.
To return views from a stack... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/tools/dp/query.py | 0.750736 | 0.414899 | query.py | pypi |
languages = {
54: "af",
28: "sq",
522: "am",
1: "ar",
5121: "ar-AL",
15361: "ar-BA",
3073: "ar-EG",
2049: "ar-IQ",
11265: "ar-JO",
13313: "ar-KU",
12289: "ar-LE",
4097: "ar-LI",
6145: "ar-MO",
8193: "ar-OM",
16385: "ar-QA",
1025: "ar-SA",
10241: "ar-SY... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/tools/dp/forsta/languages_file.py | 0.463201 | 0.363845 | languages_file.py | pypi |
import pandas as pd
from operator import lt, le, eq, ne, ge, gt
__op_symbol__ = {lt: '<', le: '<=', eq: '', ne: '!=', ge: '>=', gt: '>'}
from pandas.core.index import Index
__index_symbol__ = {
Index.union: ',',
Index.intersection: '&',
Index.difference: '~',
}
__index_symbol__[Index.symmetric_difference]... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/tools/view/logic.py | 0.807537 | 0.398231 | logic.py | pypi |
import pandas as pd
import numpy as np
import json
import re
import copy
import itertools
import math
import re, string
from collections import OrderedDict
from quantipy.core.helpers.constants import DTYPE_MAP
from quantipy.core.helpers.constants import MAPPED_PATTERN
from itertools import product
from quantipy.core.v... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/tools/view/struct.py | 0.800068 | 0.403391 | struct.py | pypi |
def view_meta(link, viewdf, weight, method_name, method_type,
name, fullname, text='', groups=None):
# Get file meta info on link definition data types
x = link.x if not link.x == '@' else link.y
y = link.y if not link.y == '@' else link.x
filemeta = link.get_meta()
if x in filemeta['... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/tools/view/meta.py | 0.758958 | 0.224725 | meta.py | pypi |
import numpy as np
import pandas as pd
import quantipy as qp
from quantipy.core.helpers.functions import (
get_rules_slicer,
get_rules,
paint_dataframe,
rule_viable_axes
)
from quantipy.core.rules import Rules
def set_fullname(pos, method_name, relation, rel_to, weights, view_name):
'''
Sets ... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/core/tools/view/query.py | 0.822368 | 0.539529 | query.py | pypi |
import numpy as np
import pandas as pd
import quantipy as qp
import pickle as cp
import platform
from PIL import ImageFont
from .excel_formats import ExcelFormats, _Format
from .excel_formats_constants import _DEFAULTS, _VIEWS_GROUPS
from difflib import SequenceMatcher
from os.path import basename
from PIL import Ima... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/sandbox/excel.py | 0.811078 | 0.3104 | excel.py | pypi |
from pptx.enum.chart import(
XL_CHART_TYPE,
XL_LABEL_POSITION,
XL_LEGEND_POSITION,
XL_TICK_MARK,
XL_TICK_LABEL_POSITION
)
from pptx.enum.dml import(
MSO_THEME_COLOR,
MSO_COLOR_TYPE,
MSO_FILL
)
from pptx.enum.text import(
PP_ALIGN,
MSO_AUTO_SIZE,
MSO_ANCHOR
)
#------------------------... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/sandbox/pptx/enumerations.py | 0.489015 | 0.20003 | enumerations.py | pypi |
from pptx.util import (
Emu,
Pt,
Cm,
Inches)
from . import pptx_defaults as pptx
import re
def update_dict_from_dict(update_dict, from_dict):
"""
Updates keys in dict with values from other dict
:param
update_dict:
from_dict:
:return: None, update_dict are updated inpl... | /quantipy3-0.2.15.tar.gz/quantipy3-0.2.15/quantipy/sandbox/pptx/PptxDefaultsClass.py | 0.832271 | 0.179064 | PptxDefaultsClass.py | pypi |
from __future__ import absolute_import
import sys
import weakref
import numpy
from .dimensionality import Dimensionality
from . import markup
from .quantity import Quantity, get_conversion_factor
from .registry import unit_registry
from .decorators import memoize, with_doc
__all__ = [
'CompoundUnit', 'Dimensio... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/unitquantity.py | 0.595493 | 0.209793 | unitquantity.py | pypi |
"""
"""
from __future__ import absolute_import, with_statement
import copy
import operator
import re
import threading
class _Config(object):
@property
def lock(self):
return self._lock
@property
def use_unicode(self):
with self.lock:
return copy.copy(self._use_unicode)
... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/markup.py | 0.794265 | 0.209086 | markup.py | pypi |
"""
"""
from __future__ import absolute_import
import sys
import operator
import numpy as np
from . import markup
from .registry import unit_registry
from .decorators import memoize
def assert_isinstance(obj, types):
try:
assert isinstance(obj, types)
except AssertionError:
raise TypeError(
... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/dimensionality.py | 0.610105 | 0.322419 | dimensionality.py | pypi |
"""
"""
from __future__ import absolute_import
import sys
import numpy as np
from . import markup
from .quantity import Quantity, scale_other_units
from .registry import unit_registry
from .decorators import with_doc
class UncertainQuantity(Quantity):
# TODO: what is an appropriate value?
__array_priority_... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/uncertainquantity.py | 0.536556 | 0.357063 | uncertainquantity.py | pypi |
"""
"""
from __future__ import absolute_import
from ..unitquantity import UnitQuantity, UnitTime
s = sec = second = UnitTime(
'second',
symbol='s',
aliases=['sec', 'seconds']
)
ks = kilosecond = UnitTime(
'kilosecond',
s*1000,
'ks',
aliases=['kiloseconds']
)
Ms = megasecond = UnitTime(
... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/units/time.py | 0.701509 | 0.239994 | time.py | pypi |
"""
"""
from __future__ import absolute_import
from ..unitquantity import UnitLength, UnitQuantity
m = meter = metre = UnitLength(
'meter',
symbol='m',
aliases=['meters', 'metre', 'metres']
)
km = kilometer = kilometre = UnitLength(
'kilometer',
1000*m,
symbol='km',
aliases=['kilometers', ... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/units/length.py | 0.64646 | 0.324998 | length.py | pypi |
"""
"""
from __future__ import absolute_import
from math import pi
from ..unitquantity import UnitQuantity, dimensionless
rad = radian = radians = UnitQuantity(
'radian',
1*dimensionless,
symbol='rad',
aliases=['radians']
)
mrad = milliradian = UnitQuantity(
'milliradian',
rad/1000,
symbo... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/units/angle.py | 0.693888 | 0.276268 | angle.py | pypi |
from __future__ import absolute_import
from ..unitquantity import UnitQuantity
from .acceleration import gravity
from .mass import g, kg, pound
from .length import m, mm, cm, inch, ft
from .force import N, kip
Hg = mercury = conventional_mercury = UnitQuantity(
'conventional_mercury',
gravity*13.59510*g/cm**... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/units/pressure.py | 0.702938 | 0.254474 | pressure.py | pypi |
"""
"""
from __future__ import absolute_import
from ..unitquantity import UnitCurrent, UnitLuminousIntensity, UnitQuantity
from .time import s
from .length import cm, m
from .energy import J, erg
from .velocity import c
from .force import N
from math import pi
A = amp = amps = ampere = amperes = UnitCurrent(
'am... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/units/electromagnetism.py | 0.566258 | 0.165998 | electromagnetism.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
hertz_inverse_meter_relationship = UnitConstant(
'hertz_inverse_meter_relationship',
_cd('hertz-inverse meter relationship')
)
hertz_joule_relationship = UnitConstant(
'hertz_joule_relationship'... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/relationships.py | 0.846514 | 0.283162 | relationships.py | pypi |
physical_constants = {}
physical_constants['{220} lattice spacing of silicon'] = {'value': 192.0155762e-12, 'precision': 0.0000050e-12, 'units': 'm'}
physical_constants['alpha particle-electron mass ratio'] = {'value': 7294.2995365, 'precision': 0.0000031, 'units': ''}
physical_constants['alpha particle mass'] = {'va... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/_codata.py | 0.601125 | 0.687177 | _codata.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
amu = atomic_mass_constant = UnitConstant(
'atomic_mass_constant',
_cd('atomic mass constant'),
symbol='m_u',
u_symbol='mᵤ'
)
atomic_unit_of_1st_hyperpolarizability = UnitConstant(
'atom... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/atomicunits.py | 0.83056 | 0.343397 | atomicunits.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
molar_Planck_constant = UnitConstant(
'molar_Planck_constant',
_cd('molar Planck constant'),
symbol='(N_A*h)',
u_symbol='(N_A·h)'
)
molar_Planck_constant_times_c = UnitConstant(
'molar_P... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/quantum.py | 0.835249 | 0.200538 | quantum.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
m_h = helion_mass = UnitConstant(
'helion_mass',
_cd('helion mass'),
symbol='m_h'
)
gamma_prime_h = shielded_helion_gyromagnetic_ratio = UnitConstant(
'shielded_helion_gyromagnetic_ratio',
... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/helion.py | 0.732018 | 0.188007 | helion.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
R_d = deuteron_rms_charge_radius = UnitConstant(
'deuteron_rms_charge_radius',
_cd('deuteron rms charge radius'),
symbol='R_d'
)
m_d = deuteron_mass = UnitConstant(
'deuteron_mass',
_cd(... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/deuteron.py | 0.829285 | 0.220804 | deuteron.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
e = elementary_charge = UnitConstant(
'elementary_charge',
_cd('elementary charge'),
symbol='e'
)
elementary_charge_over_h = UnitConstant(
'elementary_charge_over_h',
_cd('elementary cha... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/electron.py | 0.859987 | 0.26036 | electron.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
m_t = triton_mass = UnitConstant(
'triton_mass',
_cd('triton mass'),
symbol='m_t'
)
g_t = triton_g_factor = UnitConstant(
'triton_g_factor',
_cd('triton g factor'),
symbol='g_t'
)
mu... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/triton.py | 0.805135 | 0.287005 | triton.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
m_p = proton_mass = UnitConstant(
'proton_mass',
_cd('proton mass'),
symbol='m_p'
)
lambda_C_p = proton_Compton_wavelength = UnitConstant(
'proton_Compton_wavelength',
_cd('proton Compto... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/proton.py | 0.827201 | 0.209591 | proton.py | pypi |
"""
"""
from __future__ import absolute_import
from ._utils import _cd
from ..unitquantity import UnitConstant
m_n = neutron_mass = UnitConstant(
'neutron_mass',
_cd('neutron mass'),
symbol='m_n'
)
lambda_C_n = neutron_Compton_wavelength = UnitConstant(
'neutron_Compton_wavelength',
_cd('neutron ... | /quantities-scidash-0.12.4.3.tar.gz/quantities-scidash-0.12.4.3/quantities/constants/neutron.py | 0.849441 | 0.160628 | neutron.py | pypi |
# Standard library
import re
# Third party
from pygments.lexer import Lexer, do_insertions
from pygments.lexers.agile import (PythonConsoleLexer, PythonLexer,
PythonTracebackLexer)
from pygments.token import Comment, Generic
from sphinx import highlighting
#----------------------... | /quantities-0.14.0.tar.gz/quantities-0.14.0/doc/sphinxext/ipython_console_highlighting.py | 0.524151 | 0.150247 | ipython_console_highlighting.py | pypi |
from numbers import Rational
from typing import Union
# noinspection PyProtectedMember
from quantity import Quantity, QuantityMeta, Unit
from quantity.predefined import *
COLWIDTH = (6, 25, 20, 20)
# noinspection PyMissingOrEmptyDocstring
def print_header(cls: QuantityMeta) -> None:
name = cls.__name__
pri... | /quantity-0.11.4.tar.gz/quantity-0.11.4/utils/make_predef_units_doc.py | 0.682679 | 0.22029 | make_predef_units_doc.py | pypi |
import numpy as np
from .util_cy import add_vertex_normals
def compute_vertex_normals(positions: np.ndarray, indices: np.ndarray) -> np.ndarray:
# Make sure indices and positions are both arrays of shape (-1, 3)
positions = positions.reshape(-1, 3).astype('float64')
indices = indices.reshape(-1, 3)
... | /quantized_mesh_encoder-0.4.3-cp311-cp311-macosx_11_0_arm64.whl/quantized_mesh_encoder/normals.py | 0.924349 | 0.836254 | normals.py | pypi |
from struct import pack
from typing import Any, BinaryIO, Dict, Optional, Sequence, Tuple
import numpy as np
from .bounding_sphere import bounding_sphere
from .constants import HEADER, NP_STRUCT_TYPES, VERTEX_DATA, WGS84
from .ecef import to_ecef
from .ellipsoid import Ellipsoid
from .extensions import ExtensionBase
... | /quantized_mesh_encoder-0.4.3-cp311-cp311-macosx_11_0_arm64.whl/quantized_mesh_encoder/encode.py | 0.955806 | 0.570271 | encode.py | pypi |
import abc
import json
from enum import IntEnum
from struct import pack
from typing import Dict, Union
import attr
import numpy as np
from .constants import EXTENSION_HEADER, WGS84
from .ecef import to_ecef
from .ellipsoid import Ellipsoid
from .normals import compute_vertex_normals, oct_encode
class ExtensionId(In... | /quantized_mesh_encoder-0.4.3-cp311-cp311-macosx_11_0_arm64.whl/quantized_mesh_encoder/extensions.py | 0.793746 | 0.193776 | extensions.py | pypi |
from typing import Tuple
import numpy as np
from .util_cy import ritter_second_pass
def bounding_sphere(
positions: np.ndarray, *, method: str = None
) -> Tuple[np.ndarray, float]:
"""Create bounding sphere from positions
Args:
- positions: an array of shape (-1, 3) and of dtype np.float32 with... | /quantized_mesh_encoder-0.4.3-cp311-cp311-macosx_11_0_arm64.whl/quantized_mesh_encoder/bounding_sphere.py | 0.971061 | 0.882174 | bounding_sphere.py | pypi |
from __future__ import absolute_import, division
import gzip
import io
import os
from builtins import map, object
from collections import OrderedDict
from future import standard_library
from past.builtins import xrange
from past.utils import old_div
from . import horizon_occlusion_point as occ
from .bbsphere import ... | /quantized_mesh_tile-0.6.1-py3-none-any.whl/quantized_mesh_tile/terrain.py | 0.852537 | 0.339855 | terrain.py | pypi |
from __future__ import absolute_import, division
import math
from builtins import map, object
from past.builtins import xrange
from past.utils import old_div
from . import cartesian3d as c3d
class BoundingSphere(object):
def __init__(self, *args, **kwargs):
MAX = float('infinity')
MIN = float(... | /quantized_mesh_tile-0.6.1-py3-none-any.whl/quantized_mesh_tile/bbsphere.py | 0.835517 | 0.441011 | bbsphere.py | pypi |
from __future__ import absolute_import, division
import gzip
import io
import math
from struct import calcsize, pack, unpack
import numpy as np
from future import standard_library
from past.builtins import xrange
from past.utils import old_div
from . import cartesian3d as c3d
standard_library.install_aliases()
EP... | /quantized_mesh_tile-0.6.1-py3-none-any.whl/quantized_mesh_tile/utils.py | 0.72487 | 0.400749 | utils.py | pypi |
from shapely import speedups
from .terrain import TerrainTile
from .topology import TerrainTopology
if speedups.available:
speedups.enable()
def encode(geometries, bounds=[], autocorrectGeometries=False, hasLighting=False,
watermask=[]):
"""
Function to convert geometries into a
:class:`q... | /quantized_mesh_tile-0.6.1-py3-none-any.whl/quantized_mesh_tile/__init__.py | 0.952095 | 0.68429 | __init__.py | pypi |
from typing import Dict, Optional, Tuple, TypeVar, Union
import torch
import torch.nn.functional as F
from einops import rearrange, reduce, repeat
from einops.layers.torch import EinMix
from torch import LongTensor, Tensor, einsum, nn
from typing_extensions import TypeGuard
T = TypeVar("T")
"""
Utils
"""
def exist... | /quantizer-pytorch-0.0.22.tar.gz/quantizer-pytorch-0.0.22/quantizer_pytorch/quantizer.py | 0.958255 | 0.563438 | quantizer.py | pypi |
from math import sqrt
import numpy as np
from numpy.random import standard_normal
from quantlet_streaming.stream import QLet
def seed(s):
np.random.seed(s)
_seed = seed
@QLet
def random_walk(t=100, dt=0.25, s0=10.0, mu=0.0, sigma=0.1):
"""
Geometric brownian motion. Each invocation yields a differen... | /quantlet.strats-0.0.2-py3-none-any.whl/quantlet_strats/rw.py | 0.885669 | 0.646725 | rw.py | pypi |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from quantlet_streaming.stream import QLet
def unif(a, b, n):
"""
Uniform distribution
"""
return (b - a) * np.random.sample(n) + a
def autocorrelation(series):
"""
Calculate autocorrelation instances exactly like autoco... | /quantlet.strats-0.0.2-py3-none-any.whl/quantlet_strats/stats.py | 0.709523 | 0.595963 | stats.py | pypi |
from collections import deque
import pandas as pd
from quantlet_streaming.iterables import Canonical
from quantlet_streaming.metadata import expects
from quantlet_streaming.stream import QLet
@QLet
@expects(pd.DataFrame)
def bollinger(df, ma_tag='ma', std_tag='std',
upper_tag='upper', lower_tag='lower'... | /quantlet.strats-0.0.2-py3-none-any.whl/quantlet_strats/bands.py | 0.869756 | 0.634685 | bands.py | pypi |
import pandas as pd
from quantlet_streaming.iterables import Canonical
from quantlet_streaming.metadata import expects, introspect_price
from quantlet_streaming.stream import QLet
@QLet
def cma(iterables, input=None, output="cma", recursive=False):
"""
cumulative moving average
:param iterables: stream g... | /quantlet.strats-0.0.2-py3-none-any.whl/quantlet_strats/filter.py | 0.514644 | 0.510192 | filter.py | pypi |
from queue import Queue
from quantlet_streaming.metadata import introspect_price
from quantlet_streaming.stream import QLet
@QLet
def cash_stock(
iterable,
size=10,
initial_cash=500.0,
load=2.0,
price=None,
buy="buy",
sell="sell",
porfolio_value="portfolio_value",
):
"""
purch... | /quantlet.strats-0.0.2-py3-none-any.whl/quantlet_strats/curves/portfolio.py | 0.415254 | 0.528655 | portfolio.py | pypi |
from queue import Queue
from quantlet_streaming.metadata import introspect_ma, introspect_price
from quantlet_streaming.stream import QLet
@QLet
def maco_direct(iterator, size=10, cash=500.0, load=2.0):
"""
moving_average_cross_over
If the spot price:
crosses the MA upward is considered as a BUY s... | /quantlet.strats-0.0.2-py3-none-any.whl/quantlet_strats/curves/momentum.py | 0.588298 | 0.621656 | momentum.py | pypi |
from functools import wraps
import networkx as nx
class NoTransformationPath(Exception):
pass
class CyclicalTransformationPath(Exception):
pass
class NoTransformationForType(Exception):
pass
class Registry(object):
def __init__(self, graph=None):
self.graph = nx.DiGraph() if graph is No... | /quantlet.streaming-1.0.0-py3-none-any.whl/quantlet_streaming/metadata.py | 0.597608 | 0.276602 | metadata.py | pypi |
# Finance Plot
Finance Plotter, or finplot, is a performant library with a clean api to help you with your backtesting. It's
optionated with good defaults, so you can start doing your work without having to setup plots, colors, scales,
autoscaling, keybindings, handle panning+vertical zooming (which all non-finance li... | /quantlplot-1.8.1.tar.gz/quantlplot-1.8.1/README.md | 0.502197 | 0.915205 | README.md | pypi |
from functools import partial
import numpy as np
import pandas as pd
from fastcache import lru_cache
from .when import date2str
class DataApi(object):
def __init__(self, price='close', fq='post',
industry='jq_l1', weight_method='avg'):
"""数据接口, 用于因子分析获取数据
参数
--------... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/jqfactor_analyzer/data.py | 0.448185 | 0.247089 | data.py | pypi |
from __future__ import division
import pandas as pd
import numpy as np
from .exceptions import MaxLossExceededError, non_unique_bin_edges_error
from .utils import get_forward_returns_columns
@non_unique_bin_edges_error
def quantize_factor(
factor_data, quantiles=5, bins=None, by_group=False, no_raise=False, z... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/jqfactor_analyzer/prepare.py | 0.641984 | 0.446615 | prepare.py | pypi |
from __future__ import division, print_function
from collections import Iterable
import numpy as np
import pandas as pd
from fastcache import lru_cache
from cached_property import cached_property
from scipy.stats import spearmanr, pearsonr, morestats
from . import performance as pef, plotting as pl
from .prepare im... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/jqfactor_analyzer/analyze.py | 0.581541 | 0.473536 | analyze.py | pypi |
from __future__ import division, print_function
import pandas as pd
import numpy as np
from scipy import stats
from statsmodels.api import qqplot
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.ticker import ScalarFormatter
import seaborn as sns
from .compat import rolling_mean
from .plot... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/jqfactor_analyzer/plotting.py | 0.776792 | 0.415847 | plotting.py | pypi |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import collections
import io
import itertools
import sys
import backtrader as bt
from backtrader.utils.py3 import (map, with_metaclass, string_types,
integer_types)
class Wr... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/backtrader/writer.py | 0.458591 | 0.266175 | writer.py | pypi |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import itertools
from .utils import AutoOrderedDict
from .utils.date import num2date
from .utils.py3 import range
class TradeHistory(AutoOrderedDict):
'''Represents the status and update event for each u... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/backtrader/trade.py | 0.840684 | 0.569434 | trade.py | pypi |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .utils.py3 import with_metaclass
from .metabase import MetaParams
class Sizer(with_metaclass(MetaParams, object)):
'''This is the base class for *Sizers*. Any *sizer* should subclass this
and ov... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/backtrader/sizer.py | 0.745676 | 0.334372 | sizer.py | pypi |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import datetime
from .utils.py3 import with_metaclass
from .metabase import MetaParams
class CommInfoBase(with_metaclass(MetaParams)):
'''Base Class for the Commission Schemes.
Params:
- ``co... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/backtrader/comminfo.py | 0.834912 | 0.496521 | comminfo.py | pypi |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import functools
import math
from .linebuffer import LineActions
from .utils.py3 import cmp, range
# Generate a List equivalent which uses "is" for contains
class List(list):
def __contains__(self, other... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/backtrader/functions.py | 0.719581 | 0.407009 | functions.py | pypi |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import calendar
from collections import OrderedDict
import datetime
import pprint as pp
import backtrader as bt
from backtrader import TimeFrame
from backtrader.utils.py3 import MAXINT, with_metaclass
class ... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/backtrader/analyzer.py | 0.7181 | 0.245096 | analyzer.py | pypi |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from copy import copy
class Position(object):
'''
Keeps and updates the size and price of a position. The object has no
relationship to any asset. It only keeps size and price.
Member Attrib... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/backtrader/position.py | 0.827619 | 0.594169 | position.py | pypi |
import collections
import matplotlib.pyplot as plt
from matplotlib import ticker
import six
from pyalgotrade import broker
from pyalgotrade import warninghelpers
def get_last_value(dataSeries):
ret = None
try:
ret = dataSeries[-1]
except IndexError:
pass
return ret
def _filter_date... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/plotter.py | 0.704465 | 0.410638 | plotter.py | pypi |
import abc
import six
class Frequency(object):
"""Enum like class for bar frequencies. Valid values are:
* **Frequency.TRADE**: The bar represents a single trade.
* **Frequency.SECOND**: The bar summarizes the trading activity during 1 second.
* **Frequency.MINUTE**: The bar summarizes the trading ... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/bar.py | 0.907271 | 0.595669 | bar.py | pypi |
import numpy as np
import matplotlib.pyplot as plt
from six.moves import xrange
from pyalgotrade.technical import roc
from pyalgotrade import dispatcher
class Results(object):
"""Results from the profiler."""
def __init__(self, eventsDict, lookBack, lookForward):
assert(lookBack > 0)
assert(l... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/eventprofiler.py | 0.813053 | 0.558086 | eventprofiler.py | pypi |
import threading
import six
class Parameters(object):
def __init__(self, *args, **kwargs):
self.args = args
self.kwargs = kwargs
class ParameterSource(object):
"""
Source for backtesting parameters. This class is thread safe.
"""
def __init__(self, params):
self.__iter =... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/optimizer/base.py | 0.684686 | 0.210604 | base.py | pypi |
import pyalgotrade.logger
from pyalgotrade.optimizer import base
from pyalgotrade.optimizer import xmlrpcserver
logger = pyalgotrade.logger.getLogger(__name__)
class Results(object):
"""The results of the strategy executions."""
def __init__(self, parameters, result):
self.__parameters = parameters
... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/optimizer/server.py | 0.884676 | 0.363139 | server.py | pypi |
from pyalgotrade import barfeed
from pyalgotrade import bar
from pyalgotrade.barfeed import csvfeed
from pyalgotrade.utils import dt
import datetime
def to_utc_if_naive(dateTime):
if dateTime is not None and dt.datetime_is_naive(dateTime):
dateTime = dt.as_utc(dateTime)
return dateTime
class TradeB... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/bitcoincharts/barfeed.py | 0.866444 | 0.292418 | barfeed.py | pypi |
import math
from pyalgotrade import stratanalyzer
from pyalgotrade import observer
from pyalgotrade import dataseries
# Helper class to calculate time-weighted returns in a portfolio.
# Check http://www.wikinvest.com/wiki/Time-weighted_return
class TimeWeightedReturns(object):
def __init__(self, initialValue):
... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/stratanalyzer/returns.py | 0.799481 | 0.491456 | returns.py | pypi |
from pyalgotrade import stratanalyzer
import datetime
class DrawDownHelper(object):
def __init__(self):
self.__highWatermark = None
self.__lowWatermark = None
self.__lastLow = None
self.__highDateTime = None
self.__lastDateTime = None
# The drawdown duration, not nece... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/stratanalyzer/drawdown.py | 0.857679 | 0.300117 | drawdown.py | pypi |
from pyalgotrade import stratanalyzer
from pyalgotrade import broker
from pyalgotrade.stratanalyzer import returns
import numpy as np
class Trades(stratanalyzer.StrategyAnalyzer):
"""A :class:`pyalgotrade.stratanalyzer.StrategyAnalyzer` that records the profit/loss
and returns of every completed trade.
... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/stratanalyzer/trades.py | 0.89434 | 0.390447 | trades.py | pypi |
import abc
import six
@six.add_metaclass(abc.ABCMeta)
class SlippageModel(object):
"""Base class for slippage models.
.. note::
This is a base class and should not be used directly.
"""
@abc.abstractmethod
def calculatePrice(self, order, price, quantity, bar, volumeUsed):
"""
... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/broker/slippage.py | 0.893047 | 0.580768 | slippage.py | pypi |
import abc
import six
from pyalgotrade import broker
import pyalgotrade.bar
from . import slippage
# Returns the trigger price for a Limit or StopLimit order, or None if the limit price was not yet penetrated.
def get_limit_price_trigger(action, limitPrice, useAdjustedValues, bar):
ret = None
open_ = bar.ge... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/broker/fillstrategy.py | 0.830594 | 0.484807 | fillstrategy.py | pypi |
import abc
import datetime
import six
from pyalgotrade.utils import dt
from pyalgotrade.utils import csvutils
from pyalgotrade.feed import memfeed
# Interface for csv row parsers.
@six.add_metaclass(abc.ABCMeta)
class RowParser(object):
# Parses a row and returns a tuple with with two elements:
# 1: dateti... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/feed/csvfeed.py | 0.8474 | 0.358409 | csvfeed.py | pypi |
from pyalgotrade import dataseries
from pyalgotrade.dataseries import bards
class Line(object):
"""A line in a line break chart."""
def __init__(self, low, high, dateTime, white):
self.__low = low
self.__high = high
self.__dateTime = dateTime
self.__white = white
def getD... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/technical/linebreak.py | 0.899271 | 0.455744 | linebreak.py | pypi |
from pyalgotrade import dataseries
from pyalgotrade.technical import ma
from pyalgotrade.technical import stats
class BollingerBands(object):
"""Bollinger Bands filter as described in http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:bollinger_bands.
:param dataSeries: The DataSerie... | /quantlwsdk-0.0.24.tar.gz/quantlwsdk-0.0.24/pyalgotrade/technical/bollinger.py | 0.826747 | 0.639286 | bollinger.py | pypi |
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