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 |
|---|---|---|---|---|---|
from QUANTAXIS.QAEngine.QAThreadEngine import QA_Engine
# 交易封装
class QA_Trade():
"多线程+generator模式"
def __init__(self, *args, **kwargs):
self.trade_engine = QA_Engine()
self.event_queue = self.trade_engine.queue
# self.spi_thread.start()
def connect(self, *args, **kwarg... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAMarket/QATrade.py | 0.48121 | 0.151498 | QATrade.py | pypi |
import matplotlib.cm as cm
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import statsmodels.api
from matplotlib.ticker import ScalarFormatter
from scipy import stats
from QUANTAXIS.QAFactor import performance as perf
from QUANTAXIS.Q... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAFactor/plotting.py | 0.719088 | 0.495789 | plotting.py | pypi |
# Table of Contents
1. [快速上手指南](#orgf6acef4)
1. [1. 数据保存](#org4a8e85c)
2. [2. 常用接口说明](#orgfb96fc4)
2. [示例测试代码](#org1b75361)
1. [1. ROE 季度数据测试](#org51e35a4)
3. [其他说明](#org67eccfb)
4. [TODO](#org17c35b1)
5. [参考内容](#org94a10fd)
<a id="orgf6acef4"></a>
# 快速上手指南
<a id="org4a8e85c"></a>
## 1. 数据保存
1... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAFactor/README.md | 0.545528 | 0.795102 | README.md | pypi |
import warnings
from typing import Tuple, Union
import re
import numpy as np
import pandas as pd
from scipy import stats
from statsmodels.api import OLS, add_constant
from QUANTAXIS.QAFactor import utils
from QUANTAXIS.QAFactor.parameters import DAYS_PER_MONTH, DAYS_PER_QUARTER, DAYS_PER_YEAR
from QUANTAXIS.QAFactor.p... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAFactor/performance.py | 0.800263 | 0.54819 | performance.py | pypi |
import datetime
import time
from typing import List, Tuple, Union
import pandas as pd
import pymongo
import tushare as ts
from QUANTAXIS.QAFactor.utils import QA_fmt_code, QA_fmt_code_list
from QUANTAXIS.QAFetch.QAQuery_Advance import QA_fetch_stock_list
from QUANTAXIS.QAFetch.QATushare import get_pro
from QUANTAXIS.... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAFactor/fetcher.py | 0.537041 | 0.295863 | fetcher.py | pypi |
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
import pandas as pd
from typing import Union, Tuple, List
from QUANTAXIS.QAFactor import plotting
from QUANTAXIS.QAFactor import performance as perf
from QUANTAXIS.QAFactor import utils
from QUANTAXIS.QAFactor.plotting_utils import GridFigure, cust... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAFactor/tears.py | 0.64713 | 0.633722 | tears.py | pypi |
from functools import partial
from typing import List, Tuple, Union
try:
import jqdatasdk
except:
print("jqdatasdk not installed")
import numpy as np
import pandas as pd
import statsmodels.api as sm
from QUANTAXIS.QAAnalysis.QAAnalysis_block import QAAnalysis_block
from QUANTAXIS.QAFactor.utils import QA_fmt_... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAFactor/preprocess.py | 0.418103 | 0.406037 | preprocess.py | pypi |
import re
from typing import List, Tuple, Union
import numpy as np
import pandas as pd
from QUANTAXIS.QAFactor import utils
from QUANTAXIS.QAFactor import preprocess
from QUANTAXIS.QAFactor.utils import get_forward_returns_columns
def get_clean_factor_and_forward_returns(
factor: Union[pd.Series, pd.DataFra... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAFactor/process.py | 0.645567 | 0.62088 | process.py | pypi |
from statistics import mean
import pandas as pd
from QUANTAXIS.QAFetch.QAQuery import (QA_fetch_backtest_history,
QA_fetch_backtest_info)
from QUANTAXIS.QAFetch.QAQuery_Advance import QA_fetch_stock_day_adv
from QUANTAXIS.QAUtil.QADate_trade import QA_util_date_gap
class bac... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAApplication/QAResult.py | 0.641759 | 0.293502 | QAResult.py | pypi |
import csv
import json
import numpy as np
import pandas as pd
def QA_util_to_json_from_pandas(data):
"""
explanation:
将pandas数据转换成json格式
params:
* data ->:
meaning: pandas数据
type: null
optional: [null]
return:
dict
demonstrate:
... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAUtil/QATransform.py | 0.404272 | 0.496277 | QATransform.py | pypi |
import pandas as pd
try:
import talib
except:
pass
#print('PLEASE install TALIB to call these methods')
def AD(DataFrame):
res = talib.AD(DataFrame.high.values, DataFrame.low.values,
DataFrame.close.values, DataFrame.volume.values)
return pd.DataFrame({'AD': res}, index=DataFr... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAIndicator/talib_indicators.py | 0.439026 | 0.636537 | talib_indicators.py | pypi |
from functools import reduce
import numpy as np
import pandas as pd
from QUANTAXIS.QAIndicator.base import *
"""
DataFrame 类
以下的函数都可以被直接add_func
"""
"""
1. 趋向指标
又叫趋势跟踪类指标,主要用于跟踪并预测股价的发展趋势
包含的主要指标
1. 移动平均线 MA
2. 指数平滑移动平均线 MACD
3. 趋向指标 DMI
4. 瀑布线 PBX
5. 平均线差 DMA
6. 动力指标(动量线) MTM
7. 指数平均线 EXPMA
8. 佳庆指标 CHO
""... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAIndicator/indicators.py | 0.477311 | 0.34414 | indicators.py | pypi |
import numpy as np
import pandas as pd
from QUANTAXIS.QAIndicator.base import *
try:
import talib
except:
pass
#print('PLEASE install TALIB to call these methods')
"""
完全用nparray传递参数的talib库，原因是用nparray因为没有 Series MultiIndex 的问题。
处理和补完速度都比pandas更快，转 pd.DataFrame/pd.Series 只需要一个构造函数。
我还引入了一些talib没有，但是写出来不超过1... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAIndicator/talib_numpy.py | 0.508788 | 0.494385 | talib_numpy.py | pypi |
import pandas as pd
class QA_DataStruct_Indicators():
"""
指标的结构
"""
def __init__(self, data):
self.data = data
def __repr__(self):
return '< QA_DATASTRUCT_INDICATOR FROM {} TO {} WITH {} CODES >'.format(self.data.index.levels[0][0], self.data.index.levels[0][-1], len(self.data.in... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAData/QAIndicatorStruct.py | 0.657428 | 0.421254 | QAIndicatorStruct.py | pypi |
from QUANTAXIS.QAARP.QAAccount import QA_Account
from QUANTAXIS.QAUtil.QAParameter import (
AMOUNT_MODEL,
FREQUENCE,
MARKET_TYPE,
ORDER_DIRECTION,
ORDER_MODEL,
AMOUNT_MODEL
)
class QA_Strategy(QA_Account):
"""account
[description]
"""
def __init__(self, *args, **kwargs):
... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAARP/QAStrategy.py | 0.449634 | 0.172207 | QAStrategy.py | pypi |
import pandas as pd
import random
from QUANTAXIS.QAUtil.QADate_trade import trade_date_sse
from QUANTAXIS.QAUtil.QADate import QA_util_date_str2int
from QUANTAXIS.QAUtil.QACode import QA_util_code_tostr
_sh_url = 'http://www.sse.com.cn/market/dealingdata/overview/margin/a/rzrqjygk{}.xls'
_sz_url = 'http://www.szse.c... | /quantaxis-1.10.19-py3-none-any.whl/QUANTAXIS/QAFetch/QACrawler.py | 0.424054 | 0.32354 | QACrawler.py | pypi |
import inspect
import sys
from typing import Any
import numpy as np
import tensorflow as tf
from tensorflow import linalg as tfl
from tensorflow.types.experimental import TensorLike
from tensorflow_probability import distributions as tfd
from tensorflow_probability.python.internal import prefer_static as ps
from te... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/util.py | 0.867766 | 0.70973 | util.py | pypi |
from typing import Callable
from typing import Optional
import numpy as np
import tensorflow as tf
from tensorflow.types.experimental import TensorLike
def _step_sizes(position, fn):
dtype = position.dtype
machine_epsilon = tf.constant(np.finfo(dtype.as_numpy_dtype).eps, dtype=dtype)
unit_roundoff = ma... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/finite_differences.py | 0.968731 | 0.843799 | finite_differences.py | pypi |
import abc
import functools
from itertools import chain
from typing import Optional
import tensorflow as tf
from tensorflow import linalg as tfl, TensorShape
from tensorflow.types.experimental import TensorLike
from tensorflow_probability import distributions as tfd
from tensorflow_probability.python.internal impor... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/structural_time_series.py | 0.849222 | 0.582491 | structural_time_series.py | pypi |
from tensorflow_probability import bijectors as tfb
from tensorflow_probability import distributions as tfd
# mostly taken from https://www.tensorflow.org/probability/examples/Gaussian_Copula
class NormalTriLCopula(tfd.TransformedDistribution):
"""Distribution over `[0, 1]^k` via transforming a MVN with a Norma... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/copulas.py | 0.959602 | 0.483344 | copulas.py | pypi |
import numpy as np
import tensorflow as tf
from tensorflow_probability import bijectors as tfb
from tensorflow_probability import distributions as tfd
from tensorflow_probability.python.internal import prefer_static as ps
class InverseCDF(tfb.Bijector):
def __init__(self, distribution, validate_args=False, name... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/bijectors.py | 0.923377 | 0.38497 | bijectors.py | pypi |
from dataclasses import replace
from enum import Enum
import tensorflow as tf
import tensorflow_probability as tfp
from dyno import filtering
from dyno import finite_differences as fd
tfo = tfp.optimizer
DEFAULT_PARALLEL_ITERATIONS = 10
# TODO(jeff): put these args in dataclasses
# TODO(jeff): add types into this... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/fitting.py | 0.561696 | 0.26983 | fitting.py | pypi |
import enum
import functools
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow.types.experimental import TensorLike
from tensorflow_probability import bijectors as tfb
from tensorflow_probability import distributions as tfd
from tensorflow_probability.python.internal imp... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/distributions.py | 0.928018 | 0.589244 | distributions.py | pypi |
import re
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from tensorflow.types.experimental import TensorLike
from tensorflow_probability import bijectors as tfb
def time_series_plot(
state_names: list[str],
predicted_means: TensorLike,
predicted_cov_diags: TensorLike,
name:... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/viz.py | 0.781581 | 0.883488 | viz.py | pypi |
import numpy as np
import tensorflow as tf
from tensorflow.types.experimental import TensorLike
from tensorflow_probability.python.internal import prefer_static as ps
def _b_spline_weight(x, index, augmented_knots, degree):
lower = augmented_knots[index]
upper = augmented_knots[index + degree + 1]
weigh... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/math.py | 0.920099 | 0.579817 | math.py | pypi |
import itertools as it
from dataclasses import dataclass
from typing import Optional
from typing import Union
import tensorflow as tf
from tensorflow.types.experimental import TensorLike
from tensorflow_probability import bijectors as tfb
from tensorflow_probability import distributions as tfd
from tensorflow_proba... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/parameter.py | 0.856932 | 0.906031 | parameter.py | pypi |
import functools
from typing import Callable
import numpy as np
import tensorflow as tf
from tensorflow import linalg as tfl
from tensorflow.types.experimental import TensorLike
from tensorflow_probability.python.internal import dtype_util
from tensorflow_probability.python.internal import prefer_static as ps
def... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/linalg.py | 0.886525 | 0.671386 | linalg.py | pypi |
import functools
import warnings
from dataclasses import make_dataclass
from typing import Any
from typing import Callable
from typing import NamedTuple
from typing import Optional
from typing import Union
import tensorflow as tf
from tensorflow import linalg as tfl
from tensorflow.types.experimental import TensorL... | /quantbet_dyno-0.29.5-py3-none-any.whl/dyno/state_space_model.py | 0.949658 | 0.559892 | state_space_model.py | pypi |
# Quant DSL
***Domain specific language for quantitative analytics in finance and trading.***
[](https://travis-ci.org/johnbywater/quantdsl)
[](https://coveralls.io... | /quantdsl-1.4.0.tar.gz/quantdsl-1.4.0/README.md | 0.86941 | 0.96606 | README.md | pypi |
# Changelog
## Ver 0.7.1 (29-May-2023)
This is a minor release with bug fixes and improvements to documentation.
### Fix
1. [Fix for #704](https://github.com/QuantEcon/QuantEcon.py/commit/beec748020bace3834bff9afa83067f668357a24)
Thank you to [oyamad](https://github.com/oyamad), [HengchengZhang](https://github.co... | /quantecon-0.7.1.tar.gz/quantecon-0.7.1/CHANGELOG.md | 0.702938 | 0.855006 | CHANGELOG.md | pypi |
from quantestpy import QuantestPyCircuit, assert_unary_iteration
"""Define a function testing the circuit"""
def test_L11_unary_iteration(circuit):
assert_unary_iteration(
circuit=circuit,
index_reg=[0, 1, 3, 5, 7],
system_reg=[9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
ancilla_... | /quantestpy-0.1.1.tar.gz/quantestpy-0.1.1/sample/basic_unary_iteration.py | 0.692746 | 0.699568 | basic_unary_iteration.py | pypi |
from quantestpy import (QuantestPyCircuit,
assert_circuit_equivalent_to_output_qubit_state)
"""Define a function testing the circuit"""
def test_5_bit_adder(circuit):
"""a + b = c"""
for decimal_a in range(2**5):
for decimal_b in range(2**5):
decimal_c = decimal_a... | /quantestpy-0.1.1.tar.gz/quantestpy-0.1.1/sample/adder.py | 0.771672 | 0.710917 | adder.py | pypi |
from quantestpy import QuantestPyCircuit, assert_unary_iteration
"""Define a function testing the circuit"""
def test_L8_Majorana_op(circuit):
assert_unary_iteration(
circuit=circuit,
index_reg=[0, 1, 3, 5],
system_reg=[8, 9, 10, 11, 12, 13, 14, 15],
ancilla_reg=[2, 4, 6, 7],
... | /quantestpy-0.1.1.tar.gz/quantestpy-0.1.1/sample/indexed_Majorana.py | 0.703957 | 0.711769 | indexed_Majorana.py | pypi |
from quantestpy import QuantestPyCircuit, assert_unary_iteration
"""Define a function testing the circuit"""
def test_L8_ranged_unary_iteration(circuit):
assert_unary_iteration(
circuit=circuit,
index_reg=[0, 1, 3, 5],
system_reg=[8, 9, 10, 11, 12, 13, 14, 15],
ancilla_reg=[2, 4,... | /quantestpy-0.1.1.tar.gz/quantestpy-0.1.1/sample/ranged_unary_iteration.py | 0.747063 | 0.696365 | ranged_unary_iteration.py | pypi |
# quantestpy.assert_unary_iteration
## assert_unary_iteration(circuit, index_reg, system_reg, input_to_output, ancilla_reg=[], draw_circuit=False)
This is an assert method for testing indexed operation circuits such as unary iteration circuits. This method raises a QuantestPyAssertionError if a qubit value in a syste... | /quantestpy-0.1.1.tar.gz/quantestpy-0.1.1/doc/assertion/assert_unary_iteration.md | 0.615088 | 0.990348 | assert_unary_iteration.md | pypi |
from datetime import date
from typing import Iterable, Iterator
from attr import attrs
from quantfinpy.data.cashflow.cashflow import FixedRateCashflow
from quantfinpy.data.cashflow.schedule import CashflowSchedule
from quantfinpy.data.tenor import Tenor
from quantfinpy.instrument.credit.instrument import CreditInstr... | /instrument/credit/cds.py | 0.921565 | 0.396594 | cds.py | pypi |
"""Command schemas"""
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
from builtins import *
commands = {
"create-keypair": {
"additio... | /quantgo-cli-2.1.0.tar.gz/quantgo-cli-2.1.0/qg_cli/api_schema.py | 0.77343 | 0.290481 | api_schema.py | pypi |
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
from builtins import *
# ======================= QuantGo Copyright Notice ==========================... | /quantgo-service-cli-2.1.1.tar.gz/quantgo-service-cli-2.1.1/service_cli/schema.py | 0.680029 | 0.229427 | schema.py | pypi |
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from future import standard_library
standard_library.install_aliases()
from builtins import *
from builtins import object
from .service import service
class QuantGoServi... | /quantgo-service-cli-2.1.1.tar.gz/quantgo-service-cli-2.1.1/service_cli/qgservice.py | 0.865906 | 0.164148 | qgservice.py | pypi |
"""Module containing the core types for use with the MeasurementControl."""
from typing import Any, Callable
from jsonschema import Draft7Validator
from jsonschema.validators import extend
from quantify_core.utilities.general import load_json_schema
class Settable:
"""
Defines the Settable concept, which is... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/measurement/types.py | 0.949318 | 0.348756 | types.py | pypi |
import matplotlib.pyplot as plt
import numpy as np
from quantify_core.analysis import base_analysis as ba
from quantify_core.visualization import mpl_plotting as qpl
from quantify_core.visualization.SI_utilities import (
adjust_axeslabels_SI,
format_value_string,
)
class OptimizationAnalysis(ba.BaseAnalysis)... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/analysis/optimization_analysis.py | 0.903264 | 0.580114 | optimization_analysis.py | pypi |
import matplotlib.pyplot as plt
from quantify_core.analysis import base_analysis as ba
from quantify_core.visualization import mpl_plotting as qpl
from quantify_core.visualization.plot_interpolation import interpolate_heatmap
class InterpolationAnalysis2D(ba.BaseAnalysis):
"""
An analysis class which generat... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/analysis/interpolation_analysis.py | 0.863219 | 0.644141 | interpolation_analysis.py | pypi |
import matplotlib.pyplot as plt
import numpy as np
from quantify_core.analysis import base_analysis as ba
from quantify_core.analysis import fitting_models as fm
from quantify_core.visualization import mpl_plotting as qpl
from quantify_core.visualization.SI_utilities import format_value_string
# Custom analysis clas... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/analysis/spectroscopy_analysis.py | 0.873215 | 0.55266 | spectroscopy_analysis.py | pypi |
import matplotlib.pyplot as plt
import quantify_core.analysis.base_analysis as ba
from quantify_core.analysis.fitting_models import CosineModel
from quantify_core.visualization import mpl_plotting as qpl
from quantify_core.visualization.SI_utilities import (
adjust_axeslabels_SI,
format_value_string,
)
class... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/analysis/cosine_analysis.py | 0.817538 | 0.610657 | cosine_analysis.py | pypi |
"""Utilities for managing experiment data."""
import os
from pathlib import Path
from typing import Dict, Any, Optional
import xarray as xr
from quantify_core.data.handling import (
locate_experiment_container,
load_dataset,
DATASET_NAME,
write_dataset,
create_exp_folder,
)
from quantify_core.data... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/data/experiment.py | 0.898616 | 0.346237 | experiment.py | pypi |
"""Module containing the core data concepts of quantify."""
from __future__ import annotations
import datetime
from typing import Type, cast
class TUID(str):
"""
A human readable unique identifier based on the timestamp.
This class does not wrap the passed in object but simply verifies and returns it.
... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/data/types.py | 0.949424 | 0.607605 | types.py | pypi |
"""Utilities for dataset (python object) handling."""
# pylint: disable=too-many-instance-attributes
from __future__ import annotations
import json
from abc import abstractmethod
from copy import deepcopy
from typing import Any, Callable
import xarray as xr
class DatasetAdapterBase:
"""
A generic interface ... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/data/dataset_adapters.py | 0.963446 | 0.711456 | dataset_adapters.py | pypi |
# pylint: disable=too-many-instance-attributes
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Dict, List, Literal, Tuple, Union
import xarray as xr
from dataclasses_json import DataClassJsonMixin
@dataclass
class QDatasetIntraRelationship(DataClassJsonMixin):
... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/data/dataset_attrs.py | 0.946904 | 0.614539 | dataset_attrs.py | pypi |
"""Helpers for performing experiments."""
from __future__ import annotations
import warnings
from typing import Any, Optional, Union, Dict, List, Literal
import numpy as np
from qcodes.instrument import Instrument, InstrumentChannel
from qcodes.parameters import Parameter
from quantify_core.data.handling import get_l... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/utilities/experiment_helpers.py | 0.943047 | 0.329109 | experiment_helpers.py | pypi |
"""Python inspect helper functions."""
import inspect
import sys
from types import FunctionType, ModuleType
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
from IPython.display import Code, display
def get_members_of_module(
module: ModuleType, predicate: Callable[[Any], bool]
) -> Lis... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/utilities/inspect_utils.py | 0.806967 | 0.587766 | inspect_utils.py | pypi |
"""General utilities."""
import json
import pathlib
from collections.abc import MutableMapping
from typing import Any, Iterator, Optional, Type, TypeVar, Union
from qcodes.utils.helpers import NumpyJSONEncoder
def delete_keys_from_dict(dictionary: dict, keys: set) -> dict:
"""
Delete keys from dictionary rec... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/utilities/general.py | 0.957017 | 0.435001 | general.py | pypi |
from __future__ import annotations
from typing import Optional, Union
import numpy as np
import xarray as xr
import quantify_core.data.dataset_attrs as dattrs
import quantify_core.data.handling as dh
import quantify_core.measurement.control as mc
from quantify_core.analysis.calibration import rotate_to_calibrated_ax... | /quantify_core-0.7.3-py3-none-any.whl/quantify_core/utilities/dataset_examples.py | 0.937598 | 0.415343 | dataset_examples.py | pypi |
# quantify-scheduler
[](https://quantify-os.org/slack.html#sec-slack)
[](https://gitlab.com/quantify-os/quantify-scheduler/-/pipelines/)
[=
# Backend: Zurich Instruments
## Introduction
`quantify-scheduler` provides a stateless module: {mod}`~quantify_scheduler.backends.zhinst_backend`,
that abstracts the complexity of setting up experiments using [Zurich Instruments](https://www.zhinst.com) hardware.
`quantify-scheduler` uses info... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/docs/tutorials/zhinst/index.md | 0.814864 | 0.90764 | index.md | pypi |
r"""
This module represents the Q-Profile quantum control electronics profiler.
Profiling of the control electronics is enabled by using the
:class:`ProfiledScheduleGettable` in place of
:class:`~.ScheduleGettable`.
.. note::
The :class:`ProfiledScheduleGettable` is currently only tested to support Qblox hardwar... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/gettables_profiled.py | 0.934388 | 0.517327 | gettables_profiled.py | pypi |
"""Compiler for the quantify_scheduler."""
from __future__ import annotations
import logging
from typing import Literal, Optional
from quantify_scheduler.backends.graph_compilation import (
CompilationConfig,
)
from quantify_scheduler.json_utils import load_json_schema, validate_json
from quantify_scheduler.sched... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/compilation.py | 0.939471 | 0.437223 | compilation.py | pypi |
from __future__ import annotations
from typing import List, Literal, Optional, Union
import warnings
import numpy as np
from scipy import signal, interpolate
def square(t: Union[np.ndarray, List[float]], amp: Union[float, complex]) -> np.ndarray:
return amp * np.ones(len(t))
def square_imaginary(
t: Union[... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/waveforms.py | 0.955806 | 0.680135 | waveforms.py | pypi |
r"""
Module containing :class:`quantify_core.measurement.types.Gettable`\s for use with
quantify-scheduler.
.. warning::
The gettable module is expected to change significantly as the
acquisition protocols (#36 and #80) get fully supported by the scheduler.
Currently different Gettables are required for d... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/gettables.py | 0.945109 | 0.605099 | gettables.py | pypi |
"""Schedule helper functions."""
from __future__ import annotations
from itertools import chain
from typing import TYPE_CHECKING, Any, Dict, List, Tuple
import numpy as np
from quantify_scheduler.helpers.collections import make_hash, without
from quantify_scheduler.schedules.schedule import (
AcquisitionMetadata,... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/helpers/schedule.py | 0.939457 | 0.447641 | schedule.py | pypi |
"""Python inspect helper functions."""
from __future__ import annotations
import inspect
import os
import subprocess as sp # nosec B404
import sys
from pathlib import Path
from types import ModuleType
from typing import Any, Type, Union
def get_classes(*modules: ModuleType) -> Dict[str, Type[Any]]:
"""
Retu... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/helpers/inspect.py | 0.752468 | 0.366817 | inspect.py | pypi |
"""Helpers for various collections."""
from __future__ import annotations
import copy
from collections import UserDict
from typing import Any, List, Iterable, Tuple
import numpy as np
import xxhash
def make_hash(obj: Any) -> int:
"""
Makes a hash from a dictionary, list, tuple or set to any level, that cont... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/helpers/collections.py | 0.932438 | 0.305335 | collections.py | pypi |
"""Standard pulse-level operations for use with the quantify_scheduler."""
# pylint: disable= too-many-arguments, too-many-ancestors
from __future__ import annotations
from typing import List, Optional, Dict, Any, Union, Literal
from dataclasses import dataclass
import numpy as np
from numpy.typing import NDArray
fro... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/operations/pulse_library.py | 0.967922 | 0.496277 | pulse_library.py | pypi |
from __future__ import annotations
from copy import deepcopy
from dataclasses import dataclass
from typing import Any, List
import numpy as np
from quantify_scheduler.backends.qblox import constants as qblox_constants
from quantify_scheduler.backends.qblox.helpers import generate_waveform_data
from quantify_schedule... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/operations/stitched_pulse.py | 0.960943 | 0.403596 | stitched_pulse.py | pypi |
"""Module containing the core concepts of the scheduler."""
from __future__ import annotations
import inspect
import logging
from collections import UserDict
from enum import Enum
from pydoc import locate
from quantify_scheduler.helpers.collections import make_hash
from quantify_scheduler.json_utils import JSONSchema... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/operations/operation.py | 0.959374 | 0.567038 | operation.py | pypi |
"""NV-center-specific operations for use with the quantify_scheduler."""
from typing import Literal, Tuple, Union
from .operation import Operation
from ..enums import BinMode
class ChargeReset(Operation):
r"""
Prepare a NV to its negative charge state NV$^-$.
"""
def __init__(self, *qubits: str):
... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/operations/nv_native_library.py | 0.954974 | 0.517205 | nv_native_library.py | pypi |
import numpy as np
from quantify_scheduler.backends.qblox import constants as qblox_constants
from quantify_scheduler.backends.qblox import helpers as qblox_helpers
from quantify_scheduler.operations import pulse_library
from quantify_scheduler.operations.stitched_pulse import (
StitchedPulse,
StitchedPulseBui... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/operations/pulse_factories.py | 0.947745 | 0.493287 | pulse_factories.py | pypi |
example_transmon_cfg = {
"backend": "quantify_scheduler.backends.circuit_to_device"
+ ".compile_circuit_to_device",
"clocks": {
"q0.01": 6020000000.0,
"q0.ro": 7040000000.0,
"q1.01": 5020000000.0,
"q1.ro": 6900000000.0,
},
"elements": {
"q0": {
"r... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/schemas/examples/device_example_cfgs.py | 0.695441 | 0.341555 | device_example_cfgs.py | pypi |
from typing import List, Union
import numpy as np
from quantify_scheduler.schedules.schedule import Schedule
from quantify_scheduler.enums import BinMode
from quantify_scheduler.operations.acquisition_library import SSBIntegrationComplex
from quantify_scheduler.operations.gate_library import X90, Measure, Reset, Rxy,... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/schedules/timedomain_schedules.py | 0.966875 | 0.561335 | timedomain_schedules.py | pypi |
from __future__ import annotations
from typing import Optional
import numpy as np
from quantify_scheduler.enums import BinMode
from quantify_scheduler.schedules.schedule import Schedule
from quantify_scheduler.operations.acquisition_library import SSBIntegrationComplex
from quantify_scheduler.operations.pulse_librar... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/schedules/spectroscopy_schedules.py | 0.972701 | 0.35516 | spectroscopy_schedules.py | pypi |
from __future__ import annotations
import numpy as np
from numpy.typing import NDArray
from quantify_scheduler import Schedule
from quantify_scheduler.operations.acquisition_library import SSBIntegrationComplex
from quantify_scheduler.operations.pulse_library import IdlePulse, SquarePulse
from quantify_scheduler.reso... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/schedules/verification.py | 0.908876 | 0.481941 | verification.py | pypi |
from quantify_scheduler.schedules.schedule import Schedule
from quantify_scheduler.operations.acquisition_library import Trace
from quantify_scheduler.operations.gate_library import Measure
from quantify_scheduler.operations.pulse_library import IdlePulse, SquarePulse
from quantify_scheduler.resources import ClockResou... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/schedules/trace_schedules.py | 0.943383 | 0.576304 | trace_schedules.py | pypi |
# pylint: disable=too-many-arguments
from __future__ import annotations
import logging
from typing import List, Optional, Tuple, Union
import matplotlib.patches
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.axes import Axes
# For type hints, import modules to avoid circular dependencies
from mat... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/schedules/_visualization/pulse_scheme.py | 0.952673 | 0.543893 | pulse_scheme.py | pypi |
"""Functions for drawing pulse diagrams"""
from __future__ import annotations
import inspect
import logging
from collections import defaultdict
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Literal, Optional, Tuple
import matplotlib as mpl
import matplotlib.pyplot as p... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/schedules/_visualization/pulse_diagram.py | 0.948058 | 0.250385 | pulse_diagram.py | pypi |
from __future__ import annotations
import base64
from collections.abc import Callable, Iterator, Mapping
from typing import TYPE_CHECKING, Any
import numpy as np
if TYPE_CHECKING:
from numpy.typing import ArrayLike
class NDArray(np.ndarray):
"""
Pydantic-compatible version of :class:`numpy.ndarray`.
... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/structure/types.py | 0.938096 | 0.341555 | types.py | pypi |
"""Root models for data structures used within the package."""
import types
from typing import Any, Callable
import orjson
from pydantic import BaseModel, Extra
from quantify_scheduler.structure import types as qs_types
from quantify_scheduler.helpers.importers import (
import_python_object_from_string,
expo... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/structure/model.py | 0.9481 | 0.543045 | model.py | pypi |
"""Module containing the InstrumentCoordinator interface."""
from __future__ import annotations
from abc import abstractmethod
from typing import Any, Dict
from qcodes.instrument import base, parameter
from qcodes.utils import validators
def instrument_to_component_name(instrument_name: str) -> str:
"""
Gi... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/instrument_coordinator/components/base.py | 0.966647 | 0.524882 | base.py | pypi |
"""Module containing a Generic InstrumentCoordinator Component."""
from __future__ import annotations
import logging
from typing import Any, Dict, Union
from qcodes.instrument.base import InstrumentBase
import quantify_scheduler.instrument_coordinator.utility as util
from quantify_scheduler.instrument_coordinator.com... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/instrument_coordinator/components/generic.py | 0.894769 | 0.331025 | generic.py | pypi |
"""Module containing Qblox InstrumentCoordinator Components."""
from __future__ import annotations
import copy
import logging
from abc import abstractmethod
from dataclasses import dataclass
from math import isnan
from typing import Any, Callable, Dict, Optional, Tuple, Type, Union
import numpy as np
from qblox_instr... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/instrument_coordinator/components/qblox.py | 0.922565 | 0.229708 | qblox.py | pypi |
"""Pulse and acquisition corrections for hardware compilation."""
import logging
import warnings
from typing import Any, Dict, Generator, Optional, Tuple
import numpy as np
from quantify_scheduler import Schedule
from quantify_scheduler.backends.qblox import constants
from quantify_scheduler.backends.qblox.helpers imp... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/corrections.py | 0.948382 | 0.336849 | corrections.py | pypi |
"""Utility class for dynamically allocating registers for Qblox sequencers."""
from typing import Set
from quantify_scheduler.backends.qblox import constants
class RegisterManager:
"""
Utility class that keeps track of all the registers that are still available.
"""
def __init__(self) -> None:
... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/qblox/register_manager.py | 0.959478 | 0.408513 | register_manager.py | pypi |
MAX_NUMBER_OF_INSTRUCTIONS_QCM: int = 16384
"""Maximum supported number of instructions in Q1ASM programs for QCM/QCM-RF."""
MAX_NUMBER_OF_INSTRUCTIONS_QRM: int = 12288
"""Maximum supported number of instructions in Q1ASM programs for QRM/QRM-RF."""
IMMEDIATE_SZ_GAIN = pow(2, 16) - 1
"""Size of gain instruction immedia... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/qblox/constants.py | 0.907845 | 0.50061 | constants.py | pypi |
"""QASM program class for Qblox backend."""
from __future__ import annotations
from contextlib import contextmanager
from typing import List, Optional, Union, Iterator
import numpy as np
from columnar import columnar
from columnar.exceptions import TableOverflowError
from quantify_scheduler.backends.qblox import (
... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/qblox/qasm_program.py | 0.95635 | 0.373476 | qasm_program.py | pypi |
"""Helper functions to perform the version check for qblox_instruments."""
import logging
from typing import Tuple
logger = logging.getLogger(__name__)
try:
from qblox_instruments.build import __version__ as driver_version
except ImportError:
driver_version = None # Prior to v0.3.2 __version__ was not there... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/qblox/driver_version_check.py | 0.928765 | 0.284191 | driver_version_check.py | pypi |
"""Helper functions for Qblox backend."""
import dataclasses
import math
import re
import warnings
from copy import deepcopy
from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
from quantify_core.utilities import deprecated
from quantify_core.utilities.general import without
from quantify_sc... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/qblox/helpers.py | 0.960035 | 0.497925 | helpers.py | pypi |
"""Compiler base and utility classes for Qblox backend."""
# pylint: disable=too-many-lines
from __future__ import annotations
import json
import logging
import math
import warnings
from abc import ABC, ABCMeta, abstractmethod
from collections import defaultdict, deque
from functools import partial
from os import make... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/qblox/compiler_abc.py | 0.934924 | 0.204699 | compiler_abc.py | pypi |
"""Classes for handling operations that are neither pulses nor acquisitions."""
from typing import Any, Dict
import numpy as np
from quantify_scheduler.backends.qblox import constants, helpers, q1asm_instructions
from quantify_scheduler.backends.qblox.operation_handling.base import IOperationStrategy
from quantify_sc... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/qblox/operation_handling/virtual.py | 0.949972 | 0.324878 | virtual.py | pypi |
"""Classes for handling acquisitions."""
from __future__ import annotations
from abc import abstractmethod
from typing import Any, Dict, Optional, Union
import numpy as np
from quantify_scheduler.backends.qblox import constants, helpers, q1asm_instructions
from quantify_scheduler.backends.qblox.operation_handling.b... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/qblox/operation_handling/acquisitions.py | 0.947064 | 0.199327 | acquisitions.py | pypi |
"""Python dataclasses for quantify-scheduler json-schemas."""
from dataclasses import dataclass, field
from enum import Enum, unique
from typing import Dict, List, Literal, Optional, Union
from pydantic import Field, validator
from typing_extensions import Annotated
from quantify_scheduler.backends.types import commo... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/types/zhinst.py | 0.962664 | 0.490907 | zhinst.py | pypi |
from __future__ import annotations
import logging
import textwrap
from enum import Enum
from typing import Any, Dict, List, Optional, Tuple, Union
from quantify_scheduler.backends.types import zhinst
logger = logging.getLogger(__name__)
class SeqcInstructions(Enum):
"""The sequencer enum type."""
NONE = "... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/zhinst/seqc_il_generator.py | 0.887844 | 0.34895 | seqc_il_generator.py | pypi |
"""Helpers for Zurich Instruments."""
from __future__ import annotations
import json
import logging
from pathlib import Path
from typing import Any, Dict, List, Tuple, Union
import numpy as np
from zhinst import qcodes
from zhinst.qcodes import base
from quantify_scheduler.helpers import time
logger = logging.getLo... | /quantify-scheduler-0.16.0.tar.gz/quantify-scheduler-0.16.0/quantify_scheduler/backends/zhinst/helpers.py | 0.922631 | 0.439567 | helpers.py | pypi |
from abc import ABC, abstractstaticmethod
from typing import Any, Dict, List, Optional
from dagster import AssetMaterialization, MetadataValue, OutputContext
from dask.dataframe import DataFrame as DaskDataFrame
from pandas import DataFrame
from .mlflow import MLFlowRun
from .utils.typing import is_dask_dataframe, is... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/materialization.py | 0.85931 | 0.333259 | materialization.py | pypi |
from typing import Any, Dict, List, Optional, Sequence, Set
from dagster import Field, In, OpDefinition, OpExecutionContext, Out, Output
class BaseComponent:
input_defs: Dict[str, In] = {}
output_defs: Dict[str, Out] = {}
config_schema: Dict[str, Field] = {}
required_resource_keys: Set[str] = set()
... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/base.py | 0.933035 | 0.272363 | base.py | pypi |
from typing import List, Union
from dagster import Enum, EnumValue, Field
from dask.dataframe import DataFrame as DaskDataFrame
from dask.dataframe import Series as DaskSeries
from dask.dataframe.core import DataFrame
from pandas import DataFrame, Series
from qdk.transform.base import BaseTransformer
from stop_words i... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/transform/tokenize.py | 0.940708 | 0.479747 | tokenize.py | pypi |
from typing import List, Tuple, Union
import dask.dataframe as dd
import pandas as pd
from dagster import Enum, EnumValue, Field
from qdk.transform.base import BaseTransformer
import yake
class YakeTransformer(BaseTransformer):
config_schema = {
"text_columns": Field(
list,
defau... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/transform/yake.py | 0.954489 | 0.339171 | yake.py | pypi |
from typing import List, Union
import dask.dataframe as dd
import nltk
import pandas as pd
import spacy
from dagster import Field
from qdk.transform.base import BaseTransformer
from qdk.utils.text import clean_text
class NounPhraseTransformer(BaseTransformer):
noun_phrase_regex = "NP: {<NOUN.*|ADJ>*<NOUN.*>}"
... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/transform/noun_phrase.py | 0.90898 | 0.326084 | noun_phrase.py | pypi |
from typing import Any, Dict, List, Optional, Union
import dask.dataframe as dd
import pandas as pd
from dagster import Field, Noneable, Permissive, StringSource
from qdk.loader.dataframe import DataFrameLoader
class SqlTableLoader(DataFrameLoader):
config_schema = {
"connection_uri": Field(
... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/loader/sql_table.py | 0.911693 | 0.392686 | sql_table.py | pypi |
from typing import Any, Dict, List, Optional, Union
import dask.dataframe as dd
import pandas as pd
from dagster import Field, Noneable, Permissive, StringSource
from qdk.loader.dataframe import DataFrameLoader
class SqlQueryLoader(DataFrameLoader):
config_schema = {
"connection_uri": Field(
... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/loader/sql_query.py | 0.916157 | 0.373876 | sql_query.py | pypi |
from typing import Union
import dask.dataframe as dd
import pandas as pd
from dagster import Field, StringSource
from pandas.io.sql import SQLTable
from qdk.exporter.base import BaseExporter
from qdk.utils.sqlalchemy import create_sql_engine, get_primary_key
from sqlalchemy.dialects.postgresql import insert
from sqlal... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/exporter/database.py | 0.83471 | 0.225715 | database.py | pypi |
from typing import List, Optional
import numpy as np
from gensim.models import Word2Vec
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.exceptions import NotFittedError
class Word2VecModel(TransformerMixin, BaseEstimator):
"""Base Word2Vec module, wraps :class:`~gensim.models.word2vec.Word2... | /quantile_data_kit-0.0.48-py3-none-any.whl/qdk/models/word2vec.py | 0.957843 | 0.529568 | word2vec.py | pypi |
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