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 logging
from typing import cast, List, Set, Sequence, Type, Optional
from .document import Document
from .environment import Environment
from .product import Product
from .process import Process
from .requirement import RequirementSubject, Requirement
from .team import Team
from ..measurement import measurable... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/domain/software_development/project.py | 0.828939 | 0.196017 | project.py | pypi |
from typing import Sequence, Type
from .requirement import RequirementSubject, Requirement
from ..measurement.measurable import MeasurableObject
class Process(RequirementSubject, MeasurableObject):
""" Class representing a software development process. """
default_name = "Process"
default_short_name = "P... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/domain/software_development/process.py | 0.886715 | 0.157947 | process.py | pypi |
import json
import logging
import re
from typing import cast, Dict, Any, Tuple, Type
from . import base_formatter
from .. import metric_source, VERSION
from ..report import QualityReport
from ..domain import Metric, DomainObject, MetricSource
class JSONFormatter(base_formatter.Formatter):
""" Format the report i... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/formatting/json_formatter.py | 0.873902 | 0.214095 | json_formatter.py | pypi |
import collections.abc
from typing import Sequence
from ..domain import Metric, Product
class SectionHeader(object):
""" Header for a section, consisting of two-letter prefix, title and an optional subtitle. """
def __init__(self, id_prefix: str, title: str, subtitle: str = '') -> None:
self.__id_pr... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/report/section.py | 0.887064 | 0.268375 | section.py | pypi |
import datetime
from typing import cast, Set, Tuple, Type, Sequence, Optional, List
from .section import Section, SectionHeader
from .. import metric, metric_source, domain, requirement
from ..typing import Dashboard, DateTime
class QualityReport(domain.DomainObject):
""" Quality report on a project. """
@s... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/report/report.py | 0.926412 | 0.204839 | report.py | pypi |
import functools
from typing import Tuple
from hqlib.typing import MetricParameters
from ..domain import PercentageMetric, HigherPercentageIsBetterMetric, LowerPercentageIsBetterMetric
class MetaMetric(PercentageMetric): # pylint: disable=too-few-public-methods
""" Base class for meta metrics. Assumes that met... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/meta_metrics.py | 0.885229 | 0.228189 | meta_metrics.py | pypi |
from .product.analysis_age import SonarAnalysisAge, OWASPDependencyReportAge, OpenVASScanReportAge, \
CheckmarxReportAge, UnittestReportAge
from .product.aggregated_test_coverage_metrics import (
AggregatedTestStatementCoverage, AggregatedTestBranchCoverage, AggregatedTestCoverageReportAge)
from .product.autom... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/__init__.py | 0.527803 | 0.275203 | __init__.py | pypi |
import datetime
from typing import List
from hqlib import metric_source
from hqlib.domain import LowerIsBetterMetric
from hqlib.typing import MetricValue
class IssueLogMetric(LowerIsBetterMetric):
""" Metrics for tracking issue logs. """
def comment(self) -> str:
""" Add ignored lists to the comment... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/project/project_management_metrics.py | 0.834103 | 0.246454 | project_management_metrics.py | pypi |
import datetime
from typing import Dict, Tuple
from hqlib.typing import MetricValue
from ... import metric_source
from ...domain import Metric, LowerIsBetterMetric
class TeamSpirit(Metric):
""" Metric for measuring the spirit of a specific team. The team simply picks a smiley. """
name = 'Teamstemming'
... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/team/spirit.py | 0.825273 | 0.326352 | spirit.py | pypi |
from typing import List
from ..metric_source_mixin import SonarDashboardMetric
from ... import metric_source
from ...domain import MetricSourceAgeMetric
class SonarAnalysisAge(SonarDashboardMetric, MetricSourceAgeMetric):
""" Metric to measure the age of the latest Sonar analysis. """
name = 'Leeftijd van d... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/analysis_age.py | 0.827932 | 0.380817 | analysis_age.py | pypi |
from hqlib import utils
from .alerts_metrics import AlertsMetric
from ... import metric_source
class OWASPDependencyWarnings(AlertsMetric):
""" Base class for metrics that measure the number of external dependencies of the project that have OWASP
warnings with a certain priority. """
unit = 'waarschu... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/owasp_dependency_metrics.py | 0.732305 | 0.207435 | owasp_dependency_metrics.py | pypi |
from typing import List
from hqlib.typing import MetricParameters, MetricValue
from ..metric_source_mixin import SonarMetric, SonarDashboardMetric
from ...domain import LowerIsBetterMetric, Product
class ProductLOC(SonarDashboardMetric, LowerIsBetterMetric):
""" Metric for measuring the size (in number of lines ... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/size_metrics.py | 0.812979 | 0.316013 | size_metrics.py | pypi |
import json
from typing import Dict, List, Optional
from hqlib import utils
from hqlib.typing import MetricParameters
from ...domain import LowerIsBetterMetric, ExtraInfo
from ...metric_source import VersionControlSystem, Branch
class UnmergedBranches(LowerIsBetterMetric):
""" Metric for measuring the number of ... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/version_control_metrics.py | 0.788909 | 0.253087 | version_control_metrics.py | pypi |
from typing import List
from hqlib import utils
from hqlib.typing import MetricParameters, MetricValue
from ..metric_source_mixin import SonarDashboardMetric, SonarMetric
from ...domain import LowerIsBetterMetric
from ...metric_source import OJAuditReport
class Violations(SonarDashboardMetric, LowerIsBetterMetric):
... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/violation_metrics.py | 0.865466 | 0.263185 | violation_metrics.py | pypi |
from typing import List, Tuple
from hqlib.typing import MetricParameters
from ...domain import LowerIsBetterMetric
from ...metric_source.abstract.backlog import Backlog
class UserStoryMetric(LowerIsBetterMetric):
""" Base class for metrics measuring the quality of user stories. """
unit = 'user stories'
m... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/user_story_metrics.py | 0.861378 | 0.213808 | user_story_metrics.py | pypi |
from hqlib.typing import MetricParameters
from ..metric_source_mixin import SonarDashboardMetric, SonarViolationsMetric
from ...domain import LowerPercentageIsBetterMetric
class CommentedLOC(SonarDashboardMetric, LowerPercentageIsBetterMetric):
""" Metric for measuring the percentage of lines of code that are com... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/source_code_metrics.py | 0.802826 | 0.341885 | source_code_metrics.py | pypi |
from hqlib import utils
from ..metric_source_mixin import SonarDashboardMetric
from ...domain import LowerIsBetterMetric
class CodeMaintainabilityMetric(SonarDashboardMetric, LowerIsBetterMetric):
""" Abstract class for metric measuring the amount of bugs reported by Sonar. """
norm_template = 'Maximaal {tar... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/code_maintainability_metrics.py | 0.774839 | 0.164215 | code_maintainability_metrics.py | pypi |
from hqlib.typing import MetricParameters, MetricValue
from hqlib import metric_source, domain
from .base_performance_metric import PerformanceMetricMixin
class PerformanceTestMetric(PerformanceMetricMixin, domain.LowerIsBetterMetric):
""" Base class for performance metrics. """
target_value = 0
level = ... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/product/performance/performance_metrics.py | 0.899836 | 0.365202 | performance_metrics.py | pypi |
import re
from distutils.version import LooseVersion
from typing import List
from hqlib.typing import MetricParameters, Number
from ... import metric_source, utils
from ...domain import HigherIsBetterMetric
class SonarVersion(HigherIsBetterMetric):
""" Measure the version number of Sonar. """
name = 'Versie ... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/metric/environment/version_number.py | 0.87168 | 0.196113 | version_number.py | pypi |
from .. import metric
from ..domain import Requirement
class UserStoriesAndLTCs(Requirement):
""" Require user stories and logical testes to be reviewed and approved, and logical test cases to be automated. """
_name = 'User stories and logical test cases'
_metric_classes = (metric.UserStoriesNotReviewed,... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/requirement/process_quality.py | 0.72952 | 0.297126 | process_quality.py | pypi |
from .. import metric
from ..domain import Requirement
class OWASPDependencies(Requirement):
""" Require dependencies to be analyzed for vulnerabilities. """
_name = 'OWASP Top 10 2013 Dependencies'
_url = 'https://www.owasp.org/'
_metric_classes = (metric.HighPriorityOWASPDependencyWarnings, metric.N... | /quality_report-2.93.9.tar.gz/quality_report-2.93.9/hqlib/requirement/product_quality.py | 0.845688 | 0.382776 | product_quality.py | pypi |
import logging
from typing import Iterable, List, Optional
from qgis.core import QgsAnnotationLayer, QgsCoordinateReferenceSystem, QgsProject
from quality_result_gui.api.types.quality_error import QualityError
from quality_result_gui.configuration import QualityLayerStyleConfig
from quality_result_gui.quality_layer ... | /quality-result-gui-2.0.1.tar.gz/quality-result-gui-2.0.1/src/quality_result_gui/quality_error_visualizer.py | 0.832577 | 0.22193 | quality_error_visualizer.py | pypi |
import logging
from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Union
from qgis.core import (
QgsAnnotationLayer,
QgsAnnotationLineItem,
QgsAnnotationMarkerItem,
QgsAnnotationPolygonItem,
QgsGeometry,
QgsLineString,
QgsPoint,
QgsPolygon,
QgsProject,
QgsWkbTypes... | /quality-result-gui-2.0.1.tar.gz/quality-result-gui-2.0.1/src/quality_result_gui/quality_layer.py | 0.884489 | 0.238717 | quality_layer.py | pypi |
import contextlib
import enum
import logging
from abc import abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Dict,
Iterable,
Iterator,
List,
NewType,
Optional,
Set,
Tuple,
Union,
cast,
overload,
)
from qgis.gui import QgisInterface
from qgis.PyQt.QtCore impo... | /quality-result-gui-2.0.1.tar.gz/quality-result-gui-2.0.1/src/quality_result_gui/quality_errors_tree_model.py | 0.684159 | 0.216508 | quality_errors_tree_model.py | pypi |
import bisect
from abc import abstractmethod
from functools import partial
from typing import TYPE_CHECKING, Any, Dict, Hashable, List, Optional, Set, cast
from qgis.PyQt.QtCore import QObject, QSignalBlocker, pyqtSignal
from qgis.PyQt.QtGui import QMouseEvent
from qgis.PyQt.QtWidgets import QAction, QMenu
from qgis... | /quality-result-gui-2.0.1.tar.gz/quality-result-gui-2.0.1/src/quality_result_gui/quality_errors_filters.py | 0.836555 | 0.197657 | quality_errors_filters.py | pypi |
from types import GeneratorType
from typing import TYPE_CHECKING, Generator, List, Optional, cast
from qgis.PyQt.QtCore import QAbstractItemModel, QModelIndex, Qt, QVariant, pyqtSignal
from qgis.PyQt.QtWidgets import QTreeView, QWidget
from qgis_plugin_tools.tools.decorations import log_if_fails
from quality_result_... | /quality-result-gui-2.0.1.tar.gz/quality-result-gui-2.0.1/src/quality_result_gui/ui/quality_error_tree_view.py | 0.85959 | 0.261375 | quality_error_tree_view.py | pypi |
from typing import Dict, Tuple, Union
from qgis.core import (
QgsDrawSourceEffect,
QgsEffectStack,
QgsOuterGlowEffect,
QgsProperty,
QgsPropertyCollection,
QgsSymbolLayer,
)
from qgis.PyQt.QtGui import QColor
def set_symbol_layer_data_defined_property_expressions(
symbol_layer: QgsSymbolL... | /quality-result-gui-2.0.1.tar.gz/quality-result-gui-2.0.1/src/quality_result_gui/utils/styling_utils.py | 0.911362 | 0.433742 | styling_utils.py | pypi |
from typing import List, Optional
from qgis.core import (
QgsCoordinateReferenceSystem,
QgsCoordinateTransform,
QgsGeometry,
QgsLayerTree,
QgsProject,
QgsRectangle,
QgsVectorLayer,
)
from qgis.gui import QgisInterface
from qgis.utils import iface as utils_iface
iface: QgisInterface = util... | /quality-result-gui-2.0.1.tar.gz/quality-result-gui-2.0.1/src/quality_result_gui/utils/layer_utils.py | 0.887948 | 0.42179 | layer_utils.py | pypi |
from datetime import datetime
from pathlib import Path
import pkgutil
import pytz
def compare_values(symbol, arg1, arg2):
"""Compare two values for equality. Return a Syntax Error if the symbol is not found"""
arg1 = int(arg1)
arg2 = int(arg2)
if symbol == "==":
return arg1 == arg2
elif s... | /quality-toolkit-2.1.1.tar.gz/quality-toolkit-2.1.1/quality_toolkit/helpers/local_functions.py | 0.666388 | 0.375878 | local_functions.py | pypi |
import logging
import time
import requests
def send_api_request(method, url, status_code=None, nb_retry=5, wait_time=10, timeout=10, **kwargs):
"""Constructs and sends a :class:`Request <Request>`.
:param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT`... | /quality-toolkit-2.1.1.tar.gz/quality-toolkit-2.1.1/quality_toolkit/helpers/api_functions.py | 0.777933 | 0.408513 | api_functions.py | pypi |
from playwright.async_api import async_playwright
from playwright.sync_api import sync_playwright
from selenium import webdriver
def install_selenium_webdriver(remote_url, browser='chrome', headless=True):
"""
Method to install selenium webdriver
Parameters
------
remote_url: str
E... | /quality-toolkit-2.1.1.tar.gz/quality-toolkit-2.1.1/quality_toolkit/helpers/ui_functions.py | 0.802826 | 0.219599 | ui_functions.py | pypi |
# Qualtrics IAT Tool
A web app for generating the Implicit Association Test (IAT) running on Qualtrics
## Online Web App
The app is hosted by [Streamlit](https://streamlit.io/), a Python-based web framework. You can use the app here:
[Qualtrics IAT Tool](https://share.streamlit.io/ycui1/qualtricsiat/qualtrics_iat/web... | /qualtrics_iat-0.2.5.tar.gz/qualtrics_iat-0.2.5/README.md | 0.727007 | 0.757705 | README.md | pypi |
from pathlib import Path
import requests
from requests_toolbelt.multipart.encoder import MultipartEncoder
# api_token = "iNKzBVNVAoTMhwnT2amhZRAP4dTBjkEVw9AbpRWg"
# brand_center = "mdanderson.co1"
# data_center = "iad1"
# headers = {"x-api-token": api_token}
class QualtricsTool:
"""Data model to manage Qualtrics... | /qualtrics_iat-0.2.5.tar.gz/qualtrics_iat-0.2.5/qualtrics_iat/qualtrics_tools.py | 0.740174 | 0.201106 | qualtrics_tools.py | pypi |
import importlib.resources as pkg_resources
import json
class IATTask:
"""Data model to create the IAT task to run on Qualtrics
Parameters
-----------
target_positive_concept: str, the positive target
target_positive_stimuli: list[str], the list of positive target stimuli, words or links to i... | /qualtrics_iat-0.2.5.tar.gz/qualtrics_iat-0.2.5/qualtrics_iat/script_generator.py | 0.755276 | 0.53358 | script_generator.py | pypi |
from pathlib import Path
import cv2
import numpy as np
import os
def create_word_images(words,
target_folder,
category_name,
font=cv2.FONT_HERSHEY_DUPLEX,
font_scale=1,
image_size=(400, 400),
... | /qualtrics_iat-0.2.5.tar.gz/qualtrics_iat-0.2.5/qualtrics_iat/images_helper.py | 0.832271 | 0.481332 | images_helper.py | pypi |
import requests
from .qualtrics_mailing_list import QualtricsMailingList
class QualtricsDistribution(object):
"""Survey-Distribution Class for interfacing with Qualtrics API v3"""
def __init__(
self,
mailing_list: QualtricsMailingList,
message_id: str,
survey_id: str,
... | /qualtrics_mailer-0.1.1.tar.gz/qualtrics_mailer-0.1/qualtrics_mailer/qualtrics_distribution.py | 0.694613 | 0.157072 | qualtrics_distribution.py | pypi |
import re
from typing import *
import pandas as pd
def normalize_whitespace(s: str) -> str:
RE_WHITESPACE = re.compile("\s+")
s = re.sub(RE_WHITESPACE, " ", s)
return s.strip()
def quote_value(value: str, quote: str = "`") -> str:
if re.match(re.compile(quote + "(.*)" + quote), value) is not None:
... | /qualtrics_utils-0.5.8-py3-none-any.whl/qualtrics_utils/utils.py | 0.498779 | 0.278019 | utils.py | pypi |
import argparse
import json
import pathlib
from typing import *
from qualtrics_utils.codebook.generate import generate_codebook
from qualtrics_utils.utils import normalize_html, quote_value
GENERATOR_TYPES = ["tableau", "sql"]
def sql_qualtrics_map_func(mapping: dict) -> dict:
question_number, question_string, ... | /qualtrics_utils-0.5.8-py3-none-any.whl/qualtrics_utils/codebook/map_columns.py | 0.595022 | 0.315314 | map_columns.py | pypi |
import argparse
import json
import pathlib
import re
from typing import *
from qualtrics_utils.utils import normalize_whitespace
RE_HTML_TAG = re.compile(r"<(.|\s)*?>")
RE_SPACE = re.compile(r" ")
def normalize_html_string(s: str) -> str:
s = re.sub(RE_HTML_TAG, "", s)
s = re.sub(RE_SPACE, " ", s)
... | /qualtrics_utils-0.5.8-py3-none-any.whl/qualtrics_utils/codebook/generate.py | 0.774071 | 0.275727 | generate.py | pypi |
from datetime import datetime, timedelta
import time
import re
from pathlib import Path
def get_iso_datetime_string_minus_days(datetime_string="1970-01-02T00:00:00Z", days=1):
datetime_string = datetime_string.replace("T", " ")
datetime_string = datetime_string.replace("Z", "")
format_date = "%Y-%m-%d %H:... | /qualysetl-0.8.21-py3-none-any.whl/qualys_etl/etld_lib/etld_lib_datetime.py | 0.59408 | 0.312449 | etld_lib_datetime.py | pypi |
================
quandl_fund_xlsx
================
.. image:: https://img.shields.io/pypi/v/quandl_fund_xlsx.svg
:target: https://pypi.python.org/pypi/quandl_fund_xlsx
.. image:: https://img.shields.io/travis/robren/quandl_fund_xlsx.svg
:target: https://travis-ci.org/robren/quandl_fund_xlsx
.. image... | /quandl_fund_xlsx-0.4.1.tar.gz/quandl_fund_xlsx-0.4.1/README.rst | 0.852214 | 0.744099 | README.rst | pypi |
# **Metrological resources**
The metrological resources that QuanEstimation can calculate are spin squeezing and the
minimum time to reach the given target. The spin squeezing can be calculated via the function:
=== "Python"
``` py
SpinSqueezing(rho, basis="Dicke", output="KU")
```
=== "Julia"
``` jl
... | /quanestimation-0.2.0.tar.gz/quanestimation-0.2.0/docs/src/guide/guide_resources.md | 0.937947 | 0.989938 | guide_resources.md | pypi |
# **Quantum metrological tools**
QuanEstimation can be used to calculate several well-used metrological tools including
Quantum Cramér-Rao bounds, Holevo Cramér-Rao bound, Bayesian Cramér-Rao bounds, Quantum
Ziv-Zakai bound and perform Bayesian estimation.
Notes: When calculating with Python and Julia (i.e., calcute... | /quanestimation-0.2.0.tar.gz/quanestimation-0.2.0/docs/src/guide/guide_bounds.md | 0.921101 | 0.985 | guide_bounds.md | pypi |
# **Parameterization process**
In QuanEstimation, two types of parameterization processes are considered. The first one is
the master equation of the form
\begin{align}
\partial_t\rho &=\mathcal{L}\rho \nonumber \\
&=-i[H,\rho]+\sum_i \gamma_i\left(\Gamma_i\rho\Gamma^{\dagger}_i-\frac{1}{2}
\left\{\rho,\Gamma^{\dagge... | /quanestimation-0.2.0.tar.gz/quanestimation-0.2.0/docs/src/guide/guide_dynamics.md | 0.909348 | 0.992474 | guide_dynamics.md | pypi |
# **State optimization**
For state optimization in QuanEstimation, the probe state is expanded as
$|\psi\rangle=\sum_i c_i|i\rangle$ in a specific basis $\{|i\rangle\}$. Thus, search of the
optimal probe states is equal to search of the normalized complex coefficients $\{c_i\}$. In
QuanEstimation, the state optimiza... | /quanestimation-0.2.0.tar.gz/quanestimation-0.2.0/docs/src/guide/guide_Sopt.md | 0.913953 | 0.995314 | guide_Sopt.md | pypi |
# **Adaptive measurement schemes**
In QuanEstimation, the Hamiltonian of the adaptive system should be written as
$H(\textbf{x}+\textbf{u})$ with $\textbf{x}$ the unknown parameters and $\textbf{u}$
the tunable parameters. The tunable parameters $\textbf{u}$ are used to let the
Hamiltonian work at the optimal point $... | /quanestimation-0.2.0.tar.gz/quanestimation-0.2.0/docs/src/guide/guide_adaptive.md | 0.927228 | 0.988842 | guide_adaptive.md | pypi |
This part contains the methods and structs in Julia that are called by the Python-Julia packagea and the full Julia package.
## **`QuanEstimation.AD`** — *Method*.
```julia
AD(;max_episode=300, epsilon=0.01, beta1=0.90, beta2=0.99, Adam::Bool=true)
```
Optimization algorithm: AD.
* `max_episode`: The num... | /quanestimation-0.2.0.tar.gz/quanestimation-0.2.0/docs/src/API/julia/api.md | 0.508788 | 0.931836 | api.md | pypi |
import re
import zlib
import base64
import calendar
import itertools
from six import iterkeys, iteritems, PY3
if PY3:
long = int
def dt_epoch_msecs(value):
"""
Calculate miliseconds since epoch start for python datetimes.
"""
return long(calendar.timegm(value.timetuple())) * 1000
def np_dt_epoc... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/util.py | 0.712332 | 0.39161 | util.py | pypi |
import bs4
import uuid
from functools import partial
from six import text_type
# Use the default python parser as this is lenient and does not
# wrap content in extra tags
PYBLOQS_ID_PREFIX = "pybloqs_id_"
DEFAULT_PARSER = "html.parser"
def parse(string):
"""
Parses the string into a beautiful soup tree.
... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/html.py | 0.738009 | 0.289447 | html.py | pypi |
import collections
from pybloqs.block.base import BaseBlock
from pybloqs.block.text import Raw
from six import string_types
_block_types = dict()
def add_block_types(objects, block_cls):
if not isinstance(objects, collections.Iterable):
objects = [objects]
for o in objects:
_block_types[o] ... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/block/convenience.py | 0.819821 | 0.291434 | convenience.py | pypi |
import re
import numpy as np
# Heatmap colors
HEATMAP_GREEN = (0.5, 0.9, 0.5)
HEATMAP_RED = (0.9, 0.5, 0.5)
# Basic colors
BLACK = (0.00, 0.00, 0.00)
WHITE = (1.00, 1.00, 1.00)
LIGHT_GREY = (0.9, 0.9, 0.9)
GREY = (0.5, 0.5, 0.5)
DARK_GREY = (0.2, 0.2, 0.2)
DARK_BLUE = (0.12, 0.2, 0.49)
YELLOW = (.9, .9, 0.)
LIGHT_... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/block/colors.py | 0.774839 | 0.415492 | colors.py | pypi |
import base64
from six import StringIO, BytesIO
import struct
from contextlib import contextmanager
from matplotlib.artist import Artist
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
from pybloqs.block.base import BaseBlock
from pybloqs.block.convenience import add_block_types
from pybloqs.html... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/block/image.py | 0.783864 | 0.433981 | image.py | pypi |
import copy
import math
import pandas as pd
from pybloqs.util import Cfg
from pybloqs.html import append_to
from pybloqs.block.base import BaseBlock
from pybloqs.block.convenience import Block, add_block_types
from six.moves import range
class CompositeBlockMixin(object):
"""
Mixin to support composite bloc... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/block/layout.py | 0.870446 | 0.243665 | layout.py | pypi |
from pybloqs.block.table import HTMLJinjaTableBlock
from pybloqs.block.table_formatters import (fmt_fontsize_12,
fmt_decimals_2,
fmt_page_break,
fmt_table_center,
... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/block/data_tables.py | 0.564219 | 0.183356 | data_tables.py | pypi |
from six import StringIO
from pybloqs.plot.core import * # noqa F403
import pybloqs.static as static
def add_highcharts_shim_to_stream(stream, highcharts_all):
"""Generates JS to load Highcharts into Jupyter notebook. For human-readable sample output, see unit test."""
highcharts_lower = [m.replace("-", "_"... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/plot/__init__.py | 0.506103 | 0.1982 | __init__.py | pypi |
import os
from pybloqs.htmlconv.html_converter import HTMLConverter, A4, PORTRAIT
class WkhtmltopdfConverter(HTMLConverter):
"""
Implementation of HTML to PDF conversion using wkhtmltopdf tool.
"""
def htmlconv(self, block, output_file, header_block=None, header_spacing=None,
footer... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/htmlconv/wkhtmltox.py | 0.656878 | 0.237642 | wkhtmltox.py | pypi |
from numbers import Number
from pkg_resources import resource_filename
from pybloqs.htmlconv.html_converter import HTMLConverter, PORTRAIT, A4
_NODE_SCRIPT_LOC = resource_filename(__name__, "puppeteer.js")
class ChromeHeadlessConverter(HTMLConverter):
"""
Implementation of HTML to PDF conversion using hea... | /quangdv_pybloqs-1.2.12-py3-none-any.whl/pybloqs/htmlconv/chrome_headless.py | 0.738292 | 0.17774 | chrome_headless.py | pypi |
import alphalens as al
import graphviz
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from IPython.display import Image
from sklearn.tree import export_graphviz
from zipline.assets._assets import Equity # Required for USEquityPricing
from zipline.pipeline.data import USEquityPricing
from zipli... | /quanp-0.1.21.tar.gz/quanp-0.1.21/notebooks/Combine_Signals_for_Enhanced_Alpha/project_helper.py | 0.595257 | 0.373019 | project_helper.py | pypi |
import pandas as pd
import numpy as np
from scipy.optimize import minimize
from scipy.stats import skew, kurtosis, jarque_bera, norm
from quant_alchemy.timeseries import Timeseries
class Portfolio:
def __init__(self, timeseries):
"""
Initializes the Portfolio object with a collection of time serie... | /quant-alchemy-0.1.10.tar.gz/quant-alchemy-0.1.10/quant_alchemy/portfolio.py | 0.952871 | 0.664146 | portfolio.py | pypi |
import numpy as np
import pandas as pd
from scipy.stats import skew, kurtosis, jarque_bera, norm
class Timeseries:
"""
A class to perform financial calculations on time series data.
"""
def __init__(self, prices):
"""
Initializes the Timeseries object.
Parameters
-... | /quant-alchemy-0.1.10.tar.gz/quant-alchemy-0.1.10/quant_alchemy/timeseries.py | 0.936612 | 0.906901 | timeseries.py | pypi |
import tensorflow as tf
import numpy as np
import math
class UnivariateBrownianBridge():
def __init__(self, number_time_steps):
self.number_time_steps = number_time_steps
self.left_index = np.zeros(number_time_steps, dtype=int)
self.right_index = np.zeros(number_time_steps, dtype=int)
... | /quant_analytics_flow-0.0.1-py3-none-any.whl/quant_analytics_flow/calculators/univariatebrownianbridge.py | 0.560614 | 0.513729 | univariatebrownianbridge.py | pypi |
import torch
from quant_analytics_torch.modules.longshorttermmemory import LongShortTermModule
from quant_analytics_torch.calculators.pathgeneratorlognormal import PathGeneratorLognormal
class DeepLearningConditionalExpectation(torch.nn.Module):
def __init__(self, input_size=1, batch_size=1000, hidden_layer_size=... | /quant_analytics_torch-0.0.3-py3-none-any.whl/quant_analytics_torch/calculators/deeplearningconditionalexpectation.py | 0.883983 | 0.481454 | deeplearningconditionalexpectation.py | pypi |
import torch
from quant_analytics_torch.modules.longshorttermmemory import LongShortTermModule
from quant_analytics_torch.calculators.pathgeneratornormal import PathGeneratorNormal
class DeepLearningValuationEngine(torch.nn.Module):
def __init__(self, input_size=1, batch_size=1000, hidden_layer_size=128, output_s... | /quant_analytics_torch-0.0.3-py3-none-any.whl/quant_analytics_torch/calculators/deeplearninghedgingengine.py | 0.900392 | 0.490236 | deeplearninghedgingengine.py | pypi |
import torch
import matplotlib
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from quant_analytics_torch.modules.longshorttermmemory import LongShortTermModule
def entropy_loss(x,d=20):
return 1./d*torch.log(torch.mean(torch.exp(-d*x)))
if __name__ == '__main__':
print('... | /quant_analytics_torch-0.0.3-py3-none-any.whl/quant_analytics_torch/sandbox/one_step_bachelier.py | 0.751648 | 0.587115 | one_step_bachelier.py | pypi |
import requests
import pandas as pd
from time import mktime
from datetime import datetime, date
from .constants import _Y_API
from .constants import _ALPHA_VANTAGE_API_URL
from .mathformulas import BlackandScholes
from .mathformulas import riskfree
class VanillaOption:
def __init__(self, symbol, d, m, y, strike, ... | /quant_experiment-1.0.4.tar.gz/quant_experiment-1.0.4/quant_experiment/finproducts.py | 0.722135 | 0.242351 | finproducts.py | pypi |
import requests
import numpy as np
from bs4 import BeautifulSoup
from .constants import TREASURY_URL, OVERNIGHT_RATE
from scipy.interpolate import interp1d
from scipy.stats import norm
from scipy.optimize import fsolve
import math
def riskfree():
r = requests.get(TREASURY_URL)
soup = BeautifulSoup(r.text, 'ht... | /quant_experiment-1.0.4.tar.gz/quant_experiment-1.0.4/quant_experiment/mathformulas.py | 0.648578 | 0.293404 | mathformulas.py | pypi |
from os import path
from sqlalchemy import bindparam, create_engine, text
from quant_framework.internal.models import Base, Strategy
def init_db(db_path):
'''
Initialize our database and all the needed tables
'''
# If the DB file doesn't exist yet, create it
if not path.exists(db_path):
... | /quant_framework-0.0.3-py3-none-any.whl/quant_framework/internal/utils/db.py | 0.424173 | 0.154058 | db.py | pypi |
from abc import ABC, abstractmethod
from typing import final
class Strategy(ABC):
# Abstract properties and methods (the user must override these)
@property
@abstractmethod
def name(self):
pass
@property
@abstractmethod
def description(self):
pass
@property
... | /quant_framework-0.0.3-py3-none-any.whl/quant_framework/strategies/strategy.py | 0.874667 | 0.394259 | strategy.py | pypi |
from quant_framework.brokers.broker import Broker
class MockBroker(Broker):
'''
A broker that mimics the buying and selling of shares on a public market based
on the historical price of the asset at the speficied timestamp
The hypothetical positions are stored within the 'portfolio' of this class
... | /quant_framework-0.0.3-py3-none-any.whl/quant_framework/brokers/mock_broker.py | 0.747984 | 0.592372 | mock_broker.py | pypi |
import pandas as pd
import numpy as np
import numpy.typing as npt
from typing import Literal, Callable
from scipy.signal import hilbert
from ta.trend import ema_indicator, sma_indicator
from ta.momentum import ppo_hist
from ta.volatility import average_true_range
def dynamic_time_wrapping_indicator(
timeseries_1... | /quant_invest_ab-0.2.0-py3-none-any.whl/quant_invest_lab/indicators.py | 0.912324 | 0.580501 | indicators.py | pypi |
import numpy as np
import numpy.typing as npt
import pandas as pd
import scipy.stats as stat
from typing import Literal, Union
def sharpe_ratio(
returns: pd.Series,
N: Union[int, float] = 365,
risk_free_rate: float = 0.03,
) -> float:
"""The economist William F. Sharpe proposed the Sharpe ratio in 196... | /quant_invest_ab-0.2.0-py3-none-any.whl/quant_invest_lab/metrics.py | 0.986251 | 0.768603 | metrics.py | pypi |
import pandas as pd
import numpy as np
from ta.momentum import rsi, roc, ppo_hist
from ta.trend import ema_indicator
class TechnicalScreener:
@staticmethod
def __calculate_indicators(df: pd.DataFrame) -> pd.DataFrame:
"""Calculate all indicators needed to do the technical scoring.
Args:
... | /quant_invest_ab-0.2.0-py3-none-any.whl/quant_invest_lab/screener.py | 0.869188 | 0.432782 | screener.py | pypi |
from datetime import datetime
import numpy as np
import pandas as pd
import numpy.typing as npt
from typing import Literal
import matplotlib.pyplot as plt
from tqdm import tqdm
from fitter import Fitter
from psutil import cpu_count
def generate_brownian_paths(
n_paths: int,
n_steps: int,
T: float | int,
... | /quant_invest_ab-0.2.0-py3-none-any.whl/quant_invest_lab/simulation.py | 0.882706 | 0.403361 | simulation.py | pypi |
from datetime import datetime
from typing import Optional, Callable, Literal
import os
import pandas as pd
import json
import time
from random import randint
from kucoin.client import Market
from concurrent.futures import ThreadPoolExecutor, as_completed
from tqdm import tqdm
def build_multi_crypto_dataframe(
sym... | /quant_invest_ab-0.2.0-py3-none-any.whl/quant_invest_lab/data_provider.py | 0.894289 | 0.317439 | data_provider.py | pypi |
import numpy as np
import numpy.typing as npt
import pandas as pd
from typing import Callable
from abc import abstractmethod
from scipy.optimize import minimize
from quant_invest_lab.backtest import ohlc_long_only_backtester
class ConditionOptimizer:
def __init__(
self,
long_entry_function: Callab... | /quant_invest_lab-0.2.10-py3-none-any.whl/quant_invest_lab/optimization.py | 0.897824 | 0.503906 | optimization.py | pypi |
import pandas as pd
import numpy as np
from ta.momentum import rsi, roc, ppo_hist
from ta.trend import ema_indicator
class TechnicalScreener:
@staticmethod
def __calculate_indicators(df: pd.DataFrame) -> pd.DataFrame:
"""Calculate all indicators needed to do the technical scoring.
Args:
... | /quant_invest_lab-0.2.10-py3-none-any.whl/quant_invest_lab/screener.py | 0.869188 | 0.432782 | screener.py | pypi |
from datetime import datetime
import numpy as np
import pandas as pd
import numpy.typing as npt
from typing import Literal
import matplotlib.pyplot as plt
from tqdm import tqdm
from fitter import Fitter
from psutil import cpu_count
from quant_invest_lab.constants import (
TIMEFRAME_ANNUALIZED,
TIMEFRAME_TO_FRE... | /quant_invest_lab-0.2.10-py3-none-any.whl/quant_invest_lab/simulation.py | 0.86813 | 0.430626 | simulation.py | pypi |
from sklearn.decomposition import PCA
from functools import lru_cache
import numpy as np
import numpy.typing as npt
from bokeh.palettes import all_palettes
from typing import Literal
import pandas as pd
from bs4 import BeautifulSoup
import requests
import re
CAC40_URL = "https://companiesmarketcap.com/cac-40/largest-c... | /quant_invest_lab-0.2.10-py3-none-any.whl/quant_invest_lab/utils.py | 0.912784 | 0.401834 | utils.py | pypi |
import numpy as np
import numpy.typing as npt
import pandas as pd
from PyEMD import EMD
import pywt
def discrete_wavelet_smoothing(
signal: pd.Series | npt.NDArray[np.float64],
thresh: float = 0.05,
wavelet: str = "db5",
) -> npt.NDArray[np.float64]:
"""Perform a discrete wavelet low pass filter to sm... | /quant_invest_lab-0.2.10-py3-none-any.whl/quant_invest_lab/signal_processing.py | 0.915837 | 0.719285 | signal_processing.py | pypi |
from datetime import datetime
from functools import lru_cache
from typing import Optional, Callable, Literal
import os
import pandas as pd
import json
import time
from random import randint
from kucoin.client import Market
from concurrent.futures import ThreadPoolExecutor, as_completed
from tqdm import tqdm
from quant... | /quant_invest_lab-0.2.10-py3-none-any.whl/quant_invest_lab/data_provider.py | 0.88918 | 0.417212 | data_provider.py | pypi |
from statsmodels.tsa.arima.model import ARIMA
from typing import Union
import numpy as np
import pandas as pd
import warnings
warnings.filterwarnings('ignore')
__all__ = [
'auto_arima'
]
# AUTO ARIMA
def auto_arima(endogenousSeries: Union[pd.Series, np.array], exogenousSeries: Union[pd.DataFrame, np.array],
... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/models/time_series.py | 0.935626 | 0.615406 | time_series.py | pypi |
"Put summary function here that prints or returns a dataframe"
import pandas as pd
from typing import Union
import empyrical
import numpy as np
from scipy.stats import skew, kurtosis, skewtest, kurtosistest
__all__ = [
'calculate_skewness',
'calculate_kurtosis',
'is_stable',
'maximum_drawdown',
'cu... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/statistics/stats.py | 0.970338 | 0.813609 | stats.py | pypi |
"Put all financial ratios here, no need for class I think"
from quant_risk.statistics.annualize import annualised_returns, annualised_volatility
import empyrical
import pandas as pd
from typing import Union
from quant_risk.statistics.stats import maximum_drawdown
__all__ = [
'sharpe_ratio',
'calmar_ratio',
... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/statistics/financial_ratios.py | 0.931894 | 0.831417 | financial_ratios.py | pypi |
"Put summary function here that prints or returns a dataframe"
import pandas as pd
from typing import Union
import empyrical
import numpy as np
from scipy.stats import skew, kurtosis, skewtest, kurtosistest
__all__ = [
'calculate_skewness',
'calculate_kurtosis',
'is_stable',
'maximum_drawdown',
'cu... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/statistics/statistics.py | 0.970338 | 0.813609 | statistics.py | pypi |
import pypfopt
import numpy as np
import matplotlib.axes as ax
import matplotlib.pyplot as plt
import pandas as pd
from typing import Union
from pypfopt import plotting
__all__ = [
'weights',
'efficient_frontier',
'covariance_heatmap',
'correlation_heatmap',
]
def weights(weights: dict, ax: ax = None,... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/utils/plot.py | 0.938902 | 0.760917 | plot.py | pypi |
import numpy as np
import pandas as pd
from typing import OrderedDict, Union
import pypfopt
from pypfopt import expected_returns, risk_models
__all__ = [
'MeanVariance'
]
class MeanVariance:
"""Constructor to instantiate the class based on the input parameters.
Parameters
----------
historicalPr... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/portfolio/portfolio.py | 0.935792 | 0.843251 | portfolio.py | pypi |
import numpy as np
import pandas as pd
from typing import OrderedDict, Union
from quant_risk.portfolio.mean_variance import MeanVariance
from dateutil.relativedelta import relativedelta
from quant_risk.statistics.summarize import print_summary
__all__ = [
'RegimeSignalModel'
]
class RegimeSignalModel:
"""Con... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/portfolio/regime_signal.py | 0.832066 | 0.684857 | regime_signal.py | pypi |
"This module has functions related to risk parity and risk contributions"
from quant_risk.statistics.stats import risk_contribution
import numpy as np
from scipy.optimize import minimize
import pandas as pd
__all__ = [
'target_risk_contribution',
'mean_square_deviation',
'risk_parity_portfolio'
]
def tar... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/portfolio/risk_parity.py | 0.953395 | 0.821259 | risk_parity.py | pypi |
import numpy as np
import pandas as pd
from typing import OrderedDict, Union
import pypfopt
from pypfopt import expected_returns, risk_models
__all__ = [
'MeanVariance'
]
class MeanVariance:
"""Constructor to instantiate the class based on the input parameters.
Parameters
----------
historicalPr... | /quant_risk-1.1.1-py3-none-any.whl/quant_risk/portfolio/mean_variance.py | 0.935792 | 0.843251 | mean_variance.py | pypi |
import requests
import pandas as pd
from typing import Union, List
class BlockSize:
def __init__(self, token: str):
self.token = token
def get_orderbook_data(self, exchanges: Union[str, List[str]], base: str, quote: str, depth: int = 1) -> dict:
if exchanges is None:
pass
... | /quant_sdk_lite-1.0.4-py3-none-any.whl/quant_sdk_lite/quantsdklite.py | 0.798776 | 0.273174 | quantsdklite.py | pypi |
from collections import OrderedDict
from typing import Dict, Optional, List, Any, Tuple, Union
from matplotlib.figure import Figure
from mpl_format.axes.axes_formatter import AxesFormatter
from mpl_format.axes.axis_utils import new_axes
from mpl_format.figures.figure_formatter import FigureFormatter
from mpl_toolkits.... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/groups/question_groups/likert_question_group.py | 0.915344 | 0.497192 | likert_question_group.py | pypi |
from typing import Dict, List, Optional, Union
from pandas import Series, DataFrame
from survey.mixins.categorical_group_mixin import CategoricalGroupMixin
from survey.mixins.containers.question_container_mixin import \
QuestionContainerMixin
from survey.mixins.containers.single_category_stack_mixin import \
... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/groups/question_groups/single_choice_question_group.py | 0.881666 | 0.317757 | single_choice_question_group.py | pypi |
from collections import OrderedDict
from typing import Dict, Union, List, Iterator, Optional, Set, Any
from pandas import Series
from survey.custom_types import CategoricalQuestion, CategoricalQuestionTypes, \
NumericalQuestionTypes, NumericalQuestion
from survey.groups.question_groups.categorical_question_group ... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/groups/question_groups/question_group.py | 0.884682 | 0.361531 | question_group.py | pypi |
from copy import copy
from typing import Dict, List, Optional, Union
from numpy import nan
from pandas import concat, Index, MultiIndex, DataFrame, Series
from survey.constants import CATEGORY_SPLITTER
from survey.mixins.categorical_group_mixin import CategoricalGroupMixin
from survey.mixins.containers.question_conta... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/groups/question_groups/multi_choice_question_group.py | 0.848314 | 0.375191 | multi_choice_question_group.py | pypi |
from pandas import Series, DataFrame
from typing import Dict, List, Optional, Union
from survey.attributes import SingleCategoryAttribute
from survey.mixins.categorical_group_mixin import CategoricalGroupMixin
from survey.mixins.containers.attribute_container_mixin import \
AttributeContainerMixin
from survey.mixi... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/groups/attribute_groups/single_category_attribute_group.py | 0.872917 | 0.309637 | single_category_attribute_group.py | pypi |
from typing import Dict, List, Optional
from survey.attributes import CountAttribute
from survey.mixins.containers.attribute_container_mixin import \
AttributeContainerMixin
from survey.mixins.containers.single_type_attribute_container_mixin import \
SingleTypeAttributeContainerMixin
from survey.utils.type_det... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/groups/attribute_groups/count_attribute_group.py | 0.851181 | 0.26408 | count_attribute_group.py | pypi |
from typing import Dict, List, Optional
from survey.attributes import PositiveMeasureAttribute
from survey.mixins.containers.attribute_container_mixin import \
AttributeContainerMixin
from survey.mixins.containers.single_type_attribute_container_mixin import \
SingleTypeAttributeContainerMixin
from survey.util... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/groups/attribute_groups/positive_measure_attribute_group.py | 0.904284 | 0.291768 | positive_measure_attribute_group.py | pypi |
from collections import OrderedDict
from typing import Dict, Union, List, Optional, Set, Iterator
from pandas import Series
from survey.attributes import CountAttribute
from survey.attributes import RespondentAttribute, SingleCategoryAttribute
from survey.attributes import PositiveMeasureAttribute
from survey.custom_... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/groups/attribute_groups/attribute_group.py | 0.908201 | 0.340869 | attribute_group.py | pypi |
from typing import Optional, List
from survey.generation.formatting import comma_or
class Termination(object):
"""
Class to represent when a survey should be terminated for a given
respondent.
"""
def __init__(self, choices: Optional[List[str]] = None,
termination_type: Optional[... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/generation/termination.py | 0.931392 | 0.553505 | termination.py | pypi |
from typing import Optional, List
from survey.generation.formatting import bold_blue
from survey.generation.mixins.name_index_mixin import NameIndexMixin
from survey.generation.survey_question import SurveyQuestion
class SurveySection(NameIndexMixin, object):
"""
Class to represent a Survey Section.
"""
... | /quant-survey-0.0.7.tar.gz/quant-survey-0.0.7/survey/generation/survey_section.py | 0.870405 | 0.465934 | survey_section.py | pypi |
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