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 .baseorder import BaseOrder
from .helper import direction_from_amount, order_duration_spec
import saxo_openapi.definitions.orders as OD
from .mixin import OnFillHnd
class StopOrder(BaseOrder, OnFillHnd):
"""create a StopOrder.
StopOrder is used to build the body for a StopOrder. The body can be
use... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/contrib/orders/stoporder.py | 0.869687 | 0.284954 | stoporder.py | pypi |
def dyndoc_insert(src):
"""docstring_insert - a decorator to insert API-docparts dynamically."""
# manipulating docstrings this way is tricky due to indentation
# the JSON needs leading whitespace to be interpreted correctly
import json
import re
def mkblock(d, flag=0):
# response, pret... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/decorators.py | 0.689933 | 0.281356 | decorators.py | pypi |
from .base import Charts
from ..decorators import dyndoc_insert, endpoint
from .responses.charts import responses
@endpoint("openapi/chart/v1/charts")
class GetChartData(Charts):
"""Return chart data as specified by request parameters."""
@dyndoc_insert(responses)
def __init__(self, params):
"""I... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/chart/charts.py | 0.754101 | 0.206514 | charts.py | pypi |
responses = {
"_v3_AccountPerformance": {
"url": "/openapi/hist/v3/perf/{ClientKey}",
"params": {
'FromDate': '2019-03-01',
'ToDate': '2019-03-10'
},
"response": {
"AccountSummary": {
"AverageTradeDurationInMinutes": 34260,
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/accounthistory/responses/performance.py | 0.611266 | 0.337913 | performance.py | pypi |
responses = {
"_v3_HistoricalPositions": {
"url": "/openapi/hist/v3/positions/{ClientKey}",
"params": {
'FromDate': '2019-03-01',
'ToDate': '2019-03-10'
},
"response": {
"Data": [
{
"AccountId": "112209INET",
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/accounthistory/responses/historicalpositions.py | 0.503418 | 0.303532 | historicalpositions.py | pypi |
from .base import ValueAdd
from ..decorators import dyndoc_insert, endpoint
from .responses.pricealerts import responses
@endpoint("openapi/vas/v1/pricealerts/definitions/")
class GetAllAlerts(ValueAdd):
"""Get an unsorted list of all the price alert definitions belonging to
the current user where the state m... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/valueadd/pricealerts.py | 0.657538 | 0.183447 | pricealerts.py | pypi |
from ..decorators import dyndoc_insert, endpoint
from .base import ReferenceData
from .responses.instruments import responses
@endpoint("openapi/ref/v1/instruments/")
class Instruments(ReferenceData):
"""Get a list of summary information for all instruments and options
on the Saxo Trading platform restricted ... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/referencedata/instruments.py | 0.67822 | 0.160365 | instruments.py | pypi |
from ..decorators import dyndoc_insert, endpoint
from .base import ReferenceData
from .responses.standarddates import responses
@endpoint("openapi/ref/v1/standarddates/forwardtenor/{Uic}")
class ForwardTenorDates(ReferenceData):
"""Get a list of forward tenor dates for an UIC."""
@dyndoc_insert(responses)
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/referencedata/standarddates.py | 0.760384 | 0.192805 | standarddates.py | pypi |
from ..decorators import dyndoc_insert, endpoint
from .base import ReferenceData
from .responses.algostrategies import responses
@endpoint("openapi/ref/v1/algostrategies/")
class AlgoStrategies(ReferenceData):
"""Retrieve a list of strategies with detailed information about each
strategy. The response also co... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/referencedata/algostrategies.py | 0.672332 | 0.192767 | algostrategies.py | pypi |
responses = {
"_v3_ExchangeList": {
"url": "/openapi/ref/v1/exchanges",
"response": {
"__count": 181,
"Data": [
{
"AllDay": False,
"CountryCode": "US",
"Currency": "USD",
"ExchangeId": "NYSE_ARCA",
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/referencedata/responses/exchanges.py | 0.519521 | 0.356559 | exchanges.py | pypi |
responses = {
"_v3_Instruments": {
"url": "/openapi/ref/v1/instruments",
"params": {'AccountKey': 'Cf4xZWiYL6W1nMKpygBLLA==',
'Uics': '12,22,23'},
"response": {
"Data": [
{
"AssetType": "FxSpot",
"CurrencyCode": "AU... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/referencedata/responses/instruments.py | 0.499512 | 0.342379 | instruments.py | pypi |
responses = {
"_v3_Currencies": {
"url": "/openapi/ref/v1/currencies",
"response": {
"Data": [
{
"CurrencyCode": "USD",
"Decimals": 2,
"Name": "US Dollar",
"Symbol": "$"
},
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/referencedata/responses/currencies.py | 0.551332 | 0.316647 | currencies.py | pypi |
responses = {
"_v3_ForwardTenorDates": {
"url": "/openapi/ref/v1/standarddates/forwardtenor/{Uic}",
"params": {'AccountKey': 'Cf4xZWiYL6W1nMKpygBLLA=='},
"response": {
"Data": [
{
"Date": "2019-03-06",
"Unit": "Days",
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/referencedata/responses/standarddates.py | 0.490236 | 0.368122 | standarddates.py | pypi |
responses = {
"_v3_AlgoStrategies": {
"url": "/openapi/ref/v1/algostrategies",
"params": {'$top': '...', '$skip': '...'},
"response": {
"__count": 4,
"Data": [
{
"Description": "Group of VWAP",
"MinAmountUSD": 0,
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/referencedata/responses/algostrategies.py | 0.538983 | 0.354712 | algostrategies.py | pypi |
from .base import Trading
from ..decorators import dyndoc_insert, endpoint
from .responses.optionschain import responses
@endpoint("openapi/trade/v1/optionschain/subscriptions", "POST", 201)
class OptionsChainSubscriptionCreate(Trading):
"""Create an active options chain subscription."""
@dyndoc_insert(respo... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/trading/optionschain.py | 0.733643 | 0.160463 | optionschain.py | pypi |
from .base import Trading
from ..decorators import dyndoc_insert, endpoint
from .responses.positions import responses
@endpoint("openapi/trade/v1/positions", "POST", 201)
class PositionByQuote(Trading):
"""Creates a new position by accepting a quote.
The quote must be the most recent one and it must be trada... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/trading/positions.py | 0.682574 | 0.311535 | positions.py | pypi |
from .base import Trading
from ..decorators import dyndoc_insert, endpoint
from .responses.orders import responses
@endpoint("openapi/trade/v2/orders", "POST")
class Order(Trading):
"""Place a new order."""
@dyndoc_insert(responses)
def __init__(self, data):
"""Instantiate an Order request.
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/trading/orders.py | 0.732592 | 0.219588 | orders.py | pypi |
from .base import Trading
from ..decorators import dyndoc_insert, endpoint
from .responses.infoprices import responses
@endpoint("openapi/trade/v1/infoprices")
class InfoPrice(Trading):
"""Gets an info price for an instrument using the specified
parameters.
"""
@dyndoc_insert(responses)
def __ini... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/trading/infoprices.py | 0.778102 | 0.257497 | infoprices.py | pypi |
from .base import Trading
from ..decorators import dyndoc_insert, endpoint
from .responses.prices import responses
@endpoint("openapi/trade/v1/prices/subscriptions", "POST", 201)
class CreatePriceSubscription(Trading):
"""Sets up an active price subscription on an instrument and returns an
initial snapshot of... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/trading/prices.py | 0.698432 | 0.218461 | prices.py | pypi |
responses = {
"_v3_InfoPrice": {
"url": "openapi/trade/v1/infoprices",
"params": {
'Uic': 22,
'AccountKey': '81ef1924-c25f-43fe-90ff-028e3fe249f2',
'AssetType': '...',
'<other-parms>': '...',
},
"response": {
"AssetType": "F... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/trading/responses/infoprices.py | 0.522933 | 0.420124 | infoprices.py | pypi |
responses = {
"_v3_GetTradeMessages": {
"url": "openapi/trade/v1/messages",
"response": {
"Data": [
{
"DateTime": "2014-12-12T09:17:12Z",
"DisplayName": "Price Alert",
"DisplayType": "Default",
"IsDiscardable": False,
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/trading/responses/messages.py | 0.412294 | 0.245057 | messages.py | pypi |
from ..decorators import dyndoc_insert, endpoint
from .base import Portfolio
from .responses.closedpositions import responses
@endpoint("openapi/port/v1/closedpositions/")
class ClosedPositionList(Portfolio):
"""Returns a list of closed positions fulfilling the criteria
specified by the query string parameter... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/portfolio/closedpositions.py | 0.768168 | 0.247282 | closedpositions.py | pypi |
from ..decorators import dyndoc_insert, endpoint
from .base import Portfolio
from .responses.balances import responses
@endpoint("openapi/port/v1/balances/me")
class AccountBalancesMe(Portfolio):
"""Get balance data for a client or an account. Defaults to
logged-in client.
"""
@dyndoc_insert(response... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/portfolio/balances.py | 0.762247 | 0.154185 | balances.py | pypi |
responses = {
"_v3_ClosedPositionList": {
"url": "/openapi/port/v1/closedpositions/",
"params": {},
"response": {
"__count": 5,
"Data": [
{
"ClosedPosition": {
"AccountId": "9226397",
"Amount": 80000,
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/portfolio/responses/closedpositions.py | 0.477554 | 0.343672 | closedpositions.py | pypi |
responses = {
"_v3_AccountBalancesMe": {
"url": "/port/v1/balances/me",
"response": {
"CalculationReliability": "Ok",
"CashBalance": 999956.74,
"ChangesScheduled": False,
"ClosedPositionsCount": 0,
"CollateralCreditValue": {
"... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/portfolio/responses/balances.py | 0.522933 | 0.410343 | balances.py | pypi |
responses = {
"_v3_SinglePosition": {
"url": "/openapi/port/v1/positions/{PositionId}",
"params": {'ClientKey': 'Cf4xZWiYL6W1nMKpygBLLA=='},
"response": {
"NetPositionId": "EURUSD__FxSpot",
"PositionBase": {
"AccountId": "9226397",
"Amount"... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/portfolio/responses/positions.py | 0.423339 | 0.378229 | positions.py | pypi |
responses = {
"_v3_SingleNetPosition": {
"url": "/openapi/port/v1/netpositions/{NetPositionId}",
"params": {'ClientKey': 'Cf4xZWiYL6W1nMKpygBLLA=='},
"response": {
"NetPositionBase": {
"AccountId": "9226397",
"Amount": 100000,
"AssetType": "F... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/portfolio/responses/netpositions.py | 0.515864 | 0.4081 | netpositions.py | pypi |
responses = {
"_v3_NetInstrumentsExposureMe": {
"url": "/openapi/port/v1/exposure/instruments/me",
"response": [
{
"Amount": 60000,
"AssetType": "FxSpot",
"AverageOpenPrice": 1.13071,
"CalculationReliability": "Ok",
"C... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/endpoints/portfolio/responses/exposure.py | 0.544559 | 0.400749 | exposure.py | pypi |
"""AccountHistory Definitions."""
definitions = {
"InlineCountValue": {
"AllPages": "The results will contain a total count of items in the "
"queried dataset.",
"None": "The results will not contain an inline count.",
},
"AccountPerformanceStandardPeriod": {
"Al... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/definitions/accounthistory.py | 0.591133 | 0.494568 | accounthistory.py | pypi |
definitions = {
'AmountType': {
'CashAmount': 'Order amount is specified as a monetary value',
'Quantity': 'Order Amount is specified as an amount of '
'lots/shares/contracts'
},
'AssetType': {
'Bond': 'Bond',
'CfdIndexOption': 'Cfd Index Option',
... | /saxo_openapi-0.6.0.tar.gz/saxo_openapi-0.6.0/saxo_openapi/definitions/orders.py | 0.590071 | 0.283041 | orders.py | pypi |
import saxs_single_bead.form_factors
import numpy as np
def scattering_curve(
residue_codes, residue_locations, minimal_q=0.0, maximal_q=0.5, points=20
):
"""
Computes scattering curve from `residue_codes` and `residue_locations` `N` by `3` array.
Parameters
----------
residue_codes: list(st... | /saxs_single_bead-0.0.3.tar.gz/saxs_single_bead-0.0.3/saxs_single_bead/scattering_curve.py | 0.915837 | 0.70791 | scattering_curve.py | pypi |
import numpy as np
def _get_spherical():
"""
Return vector distributed uniformly on a sphere
"""
x = 2.0 * np.random.uniform() - 1.0
phi = 2.0 * np.random.uniform() - 1.0
scale = np.sqrt(1.0 - x * x)
y = scale * np.sin(np.pi * phi)
z = scale * np.cos(np.pi * phi)
return np.array([x... | /saxs_single_bead-0.0.3.tar.gz/saxs_single_bead-0.0.3/saxs_single_bead/replace_bead.py | 0.878555 | 0.773281 | replace_bead.py | pypi |
Change Log
==========
**1.6.5** (January 17, 2018)
Added new ``f`` aliast to ``fmt`` as compatibility shim / polyfill
for users moving toward Python 3.6+ f-strings, but who have to
support prior versions.
**1.6.4** (May 27, 2017)
Now uses the latest version of ``ansicolors``, extending to the
... | /say-1.6.5.zip/say-1.6.5/docs/CHANGES.rst | 0.843283 | 0.679285 | CHANGES.rst | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /sayan_distributions-1.0.tar.gz/sayan_distributions-1.0/sayan_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
# Database objects
The most common task found in SAYN projects is the `autosql` task. This is a type of tasks where you write a `SELECT` statement
and SAYN handles the database object creation. When you run the project you would want a task selecting from a table to run
after the task that creates said table. In order... | /sayn-0.6.11-py3-none-any.whl/docs/database_objects.md | 0.901161 | 0.986662 | database_objects.md | pypi |
# `python` Task
## About
The `python` task allows you to run python scripts. Therefore, those tasks can do anything Python can
do. They are extremely useful for data extraction or data science models.
There are two models for specifying python tasks in SAYN: a simple way through using decorators and a more advanced ... | /sayn-0.6.11-py3-none-any.whl/docs/tasks/python.md | 0.949728 | 0.971618 | python.md | pypi |
# `autosql` Task **[SUNSETTED]**
## About
The `autosql` task lets you write a `SELECT` statement and SAYN then automates the data processing (i.e. table or view creation, incremental load, etc.) for you.
## Defining `autosql` Tasks
An `autosql` task group is defined as follows:
!!! example "project.yaml"
```
... | /sayn-0.6.11-py3-none-any.whl/docs/tasks/autosql.md | 0.927552 | 0.955693 | autosql.md | pypi |
# Tasks
## About
A SAYN project is split into units of execution called tasks. The order of execution of these tasks is given based on the dependencies between them which you specify when writing your tasks. SAYN then takes this information and generates a DAG (Direct Acyclic Graph) automatically.
!!! info
A Dir... | /sayn-0.6.11-py3-none-any.whl/docs/tasks/overview.md | 0.896473 | 0.986598 | overview.md | pypi |
# `copy` Task
## About
The `copy` task copies tables from one database to another. It can be used to automatically
ingest data from operational databases (e.g. PostgreSQL) to your analytics warehouse.
!!! attention
Copy tasks can only be defined in YAML groups in the tasks folder, not directly in `project.yaml`.... | /sayn-0.6.11-py3-none-any.whl/docs/tasks/copy.md | 0.904673 | 0.939748 | copy.md | pypi |
# `sql` Task
## About
The `sql` task provides you with different options for working with SQL queries. It lets you execute a SQL script with one or many statements. This is useful for
executing `UPDATE` statements for example. It also lets you write a `SELECT` statement and SAYN then automates the data processing (i.... | /sayn-0.6.11-py3-none-any.whl/docs/tasks/sql.md | 0.937117 | 0.962813 | sql.md | pypi |
# SAYN Project Example: Reddit News NLP
## Project Description
#### Overview
This is an example SAYN project which shows how to use SAYN for data modelling and processing. You can find the GitHub repository
[here](https://github.com/173TECH/sayn_project_example_nlp_news_scraping){target="\_blank"}.
This project doe... | /sayn-0.6.11-py3-none-any.whl/docs/project_examples/reddit_news_nlp.md | 0.896399 | 0.987338 | reddit_news_nlp.md | pypi |
# SAYN Project Example: BBC News NLP
## Project Description
#### Overview
This is an example SAYN project which shows how to use SAYN for data modelling and processing. You can find the GitHub repository
[here](https://github.com/173TECH/sayn_project_example_nlp_news_scraping){target="\_blank"}.
This project does t... | /sayn-0.6.11-py3-none-any.whl/docs/project_examples/bbc_news_nlp.md | 0.92361 | 0.985909 | bbc_news_nlp.md | pypi |
# Tutorial Part 3: Using Python With SAYN
The [previous section of this tutorial](tutorial_part2.md) showed you how to use SAYN for data modelling purposes. We will now show you how to use Python with SAYN. This will therefore enable you to write end-to-end ELT processes and data science tasks with SAYN. Let's dive in... | /sayn-0.6.11-py3-none-any.whl/docs/tutorials/tutorial_part3.md | 0.928611 | 0.951097 | tutorial_part3.md | pypi |
# Tutorial Part 2: Data Modelling With SAYN
In the [first part of the tutorial](tutorial_part1.md), we executed our first SAYN run and went through the core components of a SAYN project. We will now see how to use SAYN for data modelling, a major process of analytics warehousing.
## SQL Tasks With SAYN
SAYN can exec... | /sayn-0.6.11-py3-none-any.whl/docs/tutorials/tutorial_part2.md | 0.887418 | 0.980034 | tutorial_part2.md | pypi |
# Redshift
The Redshift driver depends on [psycopg2](https://www.psycopg.org){target="\_blank"} and can be
installed with:
```bash
pip install "sayn[redshift]"
```
The [Redshift](https://aws.amazon.com/redshift/){target="\_blank"} connector looks for the following parameters:
Parameter | Description ... | /sayn-0.6.11-py3-none-any.whl/docs/databases/redshift.md | 0.61555 | 0.891764 | redshift.md | pypi |
# SaysWho
**SaysWho** is a Python package for identifying and attributing quotes in text. It uses a combination of logic and grammer to find quotes and their speakers, then uses a [coreferencing model](https://explosion.ai/blog/coref) to better clarify who is speaking. It's built on [Textacy](https://textacy.readthedoc... | /sayswho-0.1.4.tar.gz/sayswho-0.1.4/README.md | 0.437944 | 0.9699 | README.md | pypi |
<center>
<a href="/"><img src="/assets/img/logo-color.png" width="100%"></img></a>
<p class="logo-caption">
<span class="red">Make</span> <span class="orange"> music</span> <span class="yellow"> with </span>
<span class="green"> Mac's</span> <code><span class="blue">say</span></code></span> <span class="pur... | /saysynth-1.0.8.tar.gz/saysynth-1.0.8/README.md | 0.764892 | 0.892516 | README.md | pypi |
import itertools
import numpy as np
import pandas as pd
from typing import *
from cached_property import cached_property
from pymoo.core.variable import Variable, Real, Integer, Binary, Choice
__all__ = ['ArchDesignSpace', 'ImplicitArchDesignSpace']
class ArchDesignSpace:
"""
Base class for a hierarchical ar... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/design_space.py | 0.895893 | 0.619356 | design_space.py | pypi |
import os
import re
import pickle
import hashlib
import numpy as np
from typing import *
import concurrent.futures
import matplotlib.pyplot as plt
from pymoo.optimize import minimize
from pymoo.core.variable import Real
from pymoo.core.problem import Problem
from pymoo.core.evaluator import Evaluator
from pymoo.visual... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/pareto_front.py | 0.784154 | 0.310681 | pareto_front.py | pypi |
import logging
import warnings
import numpy as np
from typing import Optional, Tuple, List
from scipy.stats.qmc import Sobol
from scipy.spatial import distance
from pymoo.core.repair import Repair
from pymoo.core.variable import Real
from pymoo.core.problem import Problem
from pymoo.core.sampling import Sampling
from ... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/sampling.py | 0.898905 | 0.452475 | sampling.py | pypi |
import logging
import numpy as np
import pandas as pd
from typing import *
import pymoo.core.variable as var
from pymoo.core.population import Population
from sb_arch_opt.problem import ArchOptProblemBase
try:
from hebo.design_space.param import Parameter
from hebo.design_space.design_space import DesignSpace
... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/hebo_interface/algo.py | 0.819641 | 0.181444 | algo.py | pypi |
import numpy as np
import pymoo.core.variable as var
from pymoo.core.population import Population
from sb_arch_opt.problem import ArchOptProblemBase
try:
from ax import ParameterType, RangeParameter, ChoiceParameter, SearchSpace, Experiment, OptimizationConfig, \
Objective, MultiObjective, OutcomeConstrain... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/botorch_interface/algo.py | 0.715523 | 0.306268 | algo.py | pypi |
import os
import logging
import pathlib
import numpy as np
from typing import *
import pymoo.core.variable as var
from sb_arch_opt.util import capture_log
from pymoo.core.population import Population
from sb_arch_opt.problem import ArchOptProblemBase
# https://github.com/explosion/spaCy/issues/7664#issuecomment-825501... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/trieste_interface/algo.py | 0.882231 | 0.276794 | algo.py | pypi |
import timeit
import numpy as np
from typing import *
from enum import Enum
from scipy.stats import norm
from scipy.special import ndtr
from sb_arch_opt.problem import ArchOptProblemBase
from sb_arch_opt.algo.arch_sbo.hc_strategy import HiddenConstraintStrategy
from pymoo.core.problem import Problem
from pymoo.core.po... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/arch_sbo/infill.py | 0.885328 | 0.422803 | infill.py | pypi |
from pymoo.core.indicator import Indicator
from pymoo.indicators.hv import Hypervolume
from pymoo.util.display.column import Column
from pymoo.core.termination import TerminateIfAny
from pymoo.termination.max_gen import MaximumGenerationTermination
from sb_arch_opt.algo.pymoo_interface.metrics import *
__all__ = ['Est... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/arch_sbo/metrics.py | 0.790449 | 0.326432 | metrics.py | pypi |
import numpy as np
from typing import *
from sb_arch_opt.problem import *
from sb_arch_opt.algo.arch_sbo.models import *
from pymoo.util.normalization import Normalization, SimpleZeroToOneNormalization
try:
from smt.surrogate_models.surrogate_model import SurrogateModel
assert HAS_ARCH_SBO
except ImportError:
... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/arch_sbo/hc_strategy.py | 0.900086 | 0.533276 | hc_strategy.py | pypi |
from sb_arch_opt.problem import *
from sb_arch_opt.algo.arch_sbo.models import *
from sb_arch_opt.algo.arch_sbo.algo import *
from sb_arch_opt.algo.arch_sbo.infill import *
from sb_arch_opt.algo.arch_sbo.metrics import *
from sb_arch_opt.algo.arch_sbo.hc_strategy import *
if not HAS_ARCH_SBO:
get_sbo_termination =... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/arch_sbo/api.py | 0.855187 | 0.263771 | api.py | pypi |
import os
import copy
import numpy as np
from typing import *
from dataclasses import dataclass
import pymoo.core.variable as var
from pymoo.core.problem import Problem
from sb_arch_opt.problem import ArchOptProblemBase
from sb_arch_opt.design_space import ArchDesignSpace
from sb_arch_opt.sampling import HierarchicalSa... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/arch_sbo/models.py | 0.82485 | 0.307611 | models.py | pypi |
import logging
import numpy as np
from pymoo.core.population import Population
from sb_arch_opt.problem import ArchOptProblemBase
try:
from smarty.problem.optimizationProblem import CustomOptProb
from smarty.optimize.sbo import SBO
from smarty.optimize import convergenceCriteria as CC
from smarty impor... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/smarty_interface/algo.py | 0.820037 | 0.168139 | algo.py | pypi |
import logging
import numpy as np
from typing import Optional
from sb_arch_opt.problem import *
from sb_arch_opt.util import capture_log
from sb_arch_opt.algo.pymoo_interface.api import ResultsStorageCallback, ArchOptEvaluator
from sb_arch_opt.algo.pymoo_interface.storage_restart import initialize_from_previous_results... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/tpe_interface/api.py | 0.870239 | 0.301748 | api.py | pypi |
import math
import numpy as np
from pymoo.core.individual import Individual
from pymoo.core.infill import InfillCriterion
from pymoo.core.population import Population
from pymoo.core.problem import Problem
from pymoo.core.variable import Choice, Real, Integer, Binary
from pymoo.operators.crossover.sbx import SBX
from ... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/pymoo_interface/md_mating.py | 0.773858 | 0.441131 | md_mating.py | pypi |
import os
import pickle
import logging
import numpy as np
import pandas as pd
from typing import Optional
from pymoo.core.result import Result
from pymoo.core.callback import Callback
from pymoo.core.algorithm import Algorithm
from pymoo.core.evaluator import Evaluator
from pymoo.core.population import Population, Ind... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/pymoo_interface/storage_restart.py | 0.865665 | 0.328395 | storage_restart.py | pypi |
import logging
from pymoo.core.algorithm import Algorithm
from pymoo.algorithms.moo.nsga2 import NSGA2, RankAndCrowdingSurvival
from pymoo.termination.max_eval import MaximumFunctionCallTermination
from sb_arch_opt.sampling import *
from sb_arch_opt.util import capture_log
from sb_arch_opt.problem import ArchOptRepair... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/pymoo_interface/api.py | 0.820685 | 0.258124 | api.py | pypi |
import os
import logging
import numpy as np
from typing import Tuple
from sb_arch_opt.sampling import *
from sb_arch_opt.util import capture_log
from pymoo.core.population import Population
from sb_arch_opt.problem import ArchOptProblemBase
from pymoo.util.nds.non_dominated_sorting import NonDominatedSorting
try:
... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/algo/segomoe_interface/algo.py | 0.809238 | 0.223568 | algo.py | pypi |
import numpy as np
from pymoo.core.variable import Real
from pymoo.problems.single.himmelblau import Himmelblau as HB
from pymoo.problems.single.rosenbrock import Rosenbrock as RB
from pymoo.problems.single.griewank import Griewank as GW
from sb_arch_opt.problems.problems_base import *
__all__ = ['Himmelblau', 'Rosenb... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/problems/continuous.py | 0.782205 | 0.482734 | continuous.py | pypi |
import numpy as np
from pymoo.core.variable import Real
from pymoo.problems.multi.zdt import ZDT1
from pymoo.problems.single.himmelblau import Himmelblau as HB
from sb_arch_opt.problems.continuous import *
from sb_arch_opt.problems.problems_base import *
__all__ = ['MOHimmelblau', 'MDMOHimmelblau', 'DMOHimmelblau', 'M... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/problems/md_mo.py | 0.712432 | 0.339472 | md_mo.py | pypi |
import itertools
import numpy as np
from typing import Optional, Tuple
from pymoo.core.problem import Problem
from pymoo.core.variable import Real, Integer
from sb_arch_opt.problem import ArchOptProblemBase
from sb_arch_opt.pareto_front import CachedParetoFrontMixin
from sb_arch_opt.sampling import HierarchicalExhausti... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/problems/problems_base.py | 0.870583 | 0.408454 | problems_base.py | pypi |
import numpy as np
from pymoo.core.variable import Real
from pymoo.problems.multi.osy import OSY
from pymoo.problems.multi.carside import Carside
from pymoo.problems.multi.welded_beam import WeldedBeam
from pymoo.problems.multi.dascmop import DASCMOP7, DIFFICULTIES
from pymoo.problems.single.cantilevered_beam import Ca... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/problems/constrained.py | 0.823257 | 0.380989 | constrained.py | pypi |
import numpy as np
import matplotlib.pyplot as plt
from pymoo.core.population import Population
from pymoo.core.variable import Real, Choice, Integer
from sb_arch_opt.problems.continuous import Branin
from sb_arch_opt.problems.problems_base import *
__all__ = ['MDBranin', 'AugmentedMDBranin', 'MDGoldstein', 'MunozZuni... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/problems/discrete.py | 0.778986 | 0.65159 | discrete.py | pypi |
import itertools
import numpy as np
from typing import List
from pymoo.core.variable import Integer, Choice
from sb_arch_opt.problems.hierarchical import HierarchyProblemBase
__all__ = ['GNCProblemBase', 'GNCNoActNrType', 'GNCNoActType', 'GNCNoActNr', 'GNCNoAct',
'GNCNoNrType', 'GNCNoType', 'GNCNoNr', 'GNC'... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/problems/gnc.py | 0.847779 | 0.507507 | gnc.py | pypi |
import numpy as np
from deprecated import deprecated
from scipy.spatial import distance
from pymoo.core.variable import Real
from sb_arch_opt.problems.constrained import *
from sb_arch_opt.problems.hierarchical import *
from sb_arch_opt.problems.problems_base import *
from sb_arch_opt.problems.continuous import Branin,... | /sb_arch_opt-1.1.5-py3-none-any.whl/sb_arch_opt/problems/hidden_constraints.py | 0.783823 | 0.336004 | hidden_constraints.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /sb_distributions-0.1.tar.gz/sb_distributions-0.1/sb_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
from datetime import datetime
import json
import requests
from finance.models import Granularity
from finance.providers.provider import AssetValueProvider
class Yahoo(AssetValueProvider):
"""Fetches and parses financial data from Yahoo Finance."""
name = 'yahoo'
def __init__(self):
pass
d... | /sb-finance-0.4.1.tar.gz/sb-finance-0.4.1/finance/providers/yahoo.py | 0.800146 | 0.408159 | yahoo.py | pypi |
import codecs
from datetime import timedelta
from finance.providers.provider import Provider
from finance.providers.record import DateTime, Decimal, Integer, List, String
DATE_INPUT_FORMAT = '%Y/%m/%d'
DATE_OUTPUT_FORMAT = '%Y-%m-%d'
# NOTE: This doesn't seem like a good idea...
name_code_mappings = {
'애플': 'AA... | /sb-finance-0.4.1.tar.gz/sb-finance-0.4.1/finance/providers/miraeasset.py | 0.482185 | 0.36923 | miraeasset.py | pypi |
from typing import Optional, Union, Sequence, Dict
from logging import getLogger
from threading import Lock
from statsd import StatsdClient
from opentelemetry.metrics import (
MeterProvider,
Meter,
NoOpMeter,
CallbackT,
Counter,
Histogram,
ObservableCounter,
ObservableGauge,
Observa... | /sb-opentelemetry-sdk-extension-statsd-0.8.2.tar.gz/sb-opentelemetry-sdk-extension-statsd-0.8.2/src/opentelemetry/sdk/extension/statsd/metrics/__init__.py | 0.94252 | 0.217151 | __init__.py | pypi |
from typing import Any, Dict, List, Optional, Type
import torch as th
from gymnasium import spaces
from stable_baselines3.common.policies import BasePolicy
from stable_baselines3.common.torch_layers import (
BaseFeaturesExtractor,
CombinedExtractor,
FlattenExtractor,
NatureCNN,
create_mlp,
)
from s... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/qrdqn/policies.py | 0.964313 | 0.565419 | policies.py | pypi |
import warnings
from typing import Any, ClassVar, Dict, List, Optional, Tuple, Type, TypeVar, Union
import numpy as np
import torch as th
from gymnasium import spaces
from stable_baselines3.common.buffers import ReplayBuffer
from stable_baselines3.common.off_policy_algorithm import OffPolicyAlgorithm
from stable_basel... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/qrdqn/qrdqn.py | 0.950457 | 0.547646 | qrdqn.py | pypi |
from typing import Any, Dict, List, Optional, Type
import torch as th
from gymnasium import spaces
from stable_baselines3.common.policies import BasePolicy
from stable_baselines3.common.preprocessing import get_action_dim
from stable_baselines3.common.torch_layers import BaseFeaturesExtractor, create_mlp
from torch im... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/ars/policies.py | 0.968351 | 0.649078 | policies.py | pypi |
import sys
import time
from collections import deque
from typing import Any, ClassVar, Dict, Optional, Tuple, Type, TypeVar, Union
import numpy as np
import torch as th
from gymnasium import spaces
from stable_baselines3.common import utils
from stable_baselines3.common.buffers import RolloutBuffer
from stable_baselin... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/ppo_mask/ppo_mask.py | 0.838415 | 0.409988 | ppo_mask.py | pypi |
import sys
import time
from copy import deepcopy
from typing import Any, ClassVar, Dict, Optional, Type, TypeVar, Union
import numpy as np
import torch as th
from gymnasium import spaces
from stable_baselines3.common.buffers import RolloutBuffer
from stable_baselines3.common.callbacks import BaseCallback
from stable_b... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/ppo_recurrent/ppo_recurrent.py | 0.807195 | 0.389605 | ppo_recurrent.py | pypi |
from typing import Callable, Optional, Sequence
import torch as th
from torch import nn
def quantile_huber_loss(
current_quantiles: th.Tensor,
target_quantiles: th.Tensor,
cum_prob: Optional[th.Tensor] = None,
sum_over_quantiles: bool = True,
) -> th.Tensor:
"""
The quantile-regression loss, ... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/common/utils.py | 0.972323 | 0.819965 | utils.py | pypi |
import multiprocessing as mp
from collections import defaultdict
from typing import Callable, List, Optional, Tuple, Union
import numpy as np
import torch as th
from stable_baselines3.common.evaluation import evaluate_policy
from stable_baselines3.common.policies import BasePolicy
from stable_baselines3.common.running... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/common/vec_env/async_eval.py | 0.90425 | 0.355859 | async_eval.py | pypi |
from typing import Generator, NamedTuple, Optional, Union
import numpy as np
import torch as th
from gymnasium import spaces
from stable_baselines3.common.buffers import DictRolloutBuffer, RolloutBuffer
from stable_baselines3.common.type_aliases import TensorDict
from stable_baselines3.common.vec_env import VecNormali... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/common/maskable/buffers.py | 0.960166 | 0.539044 | buffers.py | pypi |
import os
import numpy as np
from stable_baselines3.common.callbacks import EvalCallback
from stable_baselines3.common.vec_env import sync_envs_normalization
from sb3_contrib.common.maskable.evaluation import evaluate_policy
class MaskableEvalCallback(EvalCallback):
"""
Callback for evaluating an agent. Sup... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/common/maskable/callbacks.py | 0.802826 | 0.433382 | callbacks.py | pypi |
import warnings
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import gymnasium as gym
import numpy as np
from stable_baselines3.common.monitor import Monitor
from stable_baselines3.common.vec_env import DummyVecEnv, VecEnv, VecMonitor, is_vecenv_wrapped
from sb3_contrib.common.maskable.utils im... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/common/maskable/evaluation.py | 0.897555 | 0.58255 | evaluation.py | pypi |
from functools import partial
from typing import Callable, Generator, Optional, Tuple, Union
import numpy as np
import torch as th
from gymnasium import spaces
from stable_baselines3.common.buffers import DictRolloutBuffer, RolloutBuffer
from stable_baselines3.common.vec_env import VecNormalize
from sb3_contrib.commo... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/common/recurrent/buffers.py | 0.964288 | 0.517388 | buffers.py | pypi |
from typing import Any, Dict, List, Optional, Tuple, Type, Union
import numpy as np
import torch as th
from gymnasium import spaces
from stable_baselines3.common.distributions import Distribution
from stable_baselines3.common.policies import ActorCriticPolicy
from stable_baselines3.common.torch_layers import (
Bas... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/common/recurrent/policies.py | 0.964153 | 0.599397 | policies.py | pypi |
from typing import List, Optional
import numpy as np
from gymnasium import spaces
from stable_baselines3.common.envs import IdentityEnv
class InvalidActionEnvDiscrete(IdentityEnv[int]):
"""
Identity env with a discrete action space. Supports action masking.
"""
def __init__(
self,
di... | /sb3_contrib-2.1.0.tar.gz/sb3_contrib-2.1.0/sb3_contrib/common/envs/invalid_actions_env.py | 0.895657 | 0.516595 | invalid_actions_env.py | pypi |
# SbNative
An extention to python for debugging and such. Things that, well `Should Be Native`
## SbNative may be used for
- private projects.
- public projects (The SbNative repo must be referenced in a Readme in case the source code is available.)
DO NOT DISTRIBUTE.
ALL NON MENTIONED RIGHTS RESERVED.
## Cha... | /sbNative-0.0.15.tar.gz/sbNative-0.0.15/README.md | 0.85341 | 0.853608 | README.md | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /sbad_distributions-0.1.tar.gz/sbad_distributions-0.1/sbad_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
Sideband <img align="right" src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg"/>
=========
Sideband is an LXMF client for Android, Linux and macOS. It allows you to communicate with other people or LXMF-compatible systems over Reticulum networks using LoRa, Packet Radio, WiFi, I2P, Encrypte... | /sbapp-0.5.2.tar.gz/sbapp-0.5.2/README.md | 0.499756 | 0.866472 | README.md | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /sbbbxl_distrib-0.1.tar.gz/sbbbxl_distrib-0.1/sbbbxl_distrib/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
sbbst (Self Balancing Binary Search Tree)
-----------------------------------------
A Python implementation of a self balancing binary search tree (AVL Tree). Useful to practice, study and see how a SBBST works.
Introduction
============
A **self-balancing binary search tree** is a data structure, a kind advanced one... | /sbbst-1.0.tar.gz/sbbst-1.0/README.rst | 0.66769 | 0.676887 | README.rst | pypi |
import numpy as np
import pandas as pd
from sbc import util
import matplotlib.pyplot as plt
class Result:
def __init__(self, p, v, model_use):
self.p = p
self.v = v
self.model_use = model_use
def getDemandInterval(self):
return self.p
def getCVSquared(self):
r... | /sbc_classification-0.0.4-py3-none-any.whl/sbc/sbc_class.py | 0.468547 | 0.423756 | sbc_class.py | pypi |
import logging
import uuid
from django.contrib.auth.models import BaseUserManager, AbstractBaseUser, PermissionsMixin
from django.db import models
from django.db.models import Q
from django.db.models import QuerySet
from django.utils import timezone
from django.utils.translation import ugettext as _
from faker import ... | /sbc_drf_user-1.0.3.tar.gz/sbc_drf_user-1.0.3/src/sbc_drf_user/models.py | 0.547706 | 0.151247 | models.py | pypi |
import logging
from rest_framework import permissions as rf_permissions
L = logging.getLogger(__name__)
class DjangoModelPermissions(rf_permissions.DjangoModelPermissions):
"""
Extends to add view permission
"""
perms_map = {
'GET': ['%(app_label)s.view_%(model_name)s'],
'OPTIONS': [... | /sbc_drf-1.1.6.tar.gz/sbc_drf-1.1.6/src/sbc_drf/permissions.py | 0.77535 | 0.170439 | permissions.py | pypi |
__all__ = ['DynamicFieldsSerializerMixin', 'ExcludeOnUpdateSerializerMixin',
'InjectReqUserSerializerMixin']
from django.http import QueryDict
class DynamicFieldsSerializerMixin:
"""
Returns only attributes passed in `query_params['fields']`
Eg:
/myendpoint?fields=name,email,id
""... | /sbc_drf-1.1.6.tar.gz/sbc_drf-1.1.6/src/sbc_drf/mixins/serializer.py | 0.830147 | 0.27269 | serializer.py | pypi |
import logging
class OverlayParam:
''' Represent a parameter in an overlay '''
def __init__(self, name:str, param_type:str, number_as_str=False, param_help='No additional help available', values=None, default_value=None, set_value=None):
self.name = name
if param_type in ['str', 'string']:
... | /sbc_gpio-1.0.3-py3-none-any.whl/sbc_gpio/dynamic_dts.py | 0.665084 | 0.262877 | dynamic_dts.py | pypi |
import collections
import datetime
import logging
import ntpath
import re
import pytz
L = logging.getLogger('app.' + __name__)
first_cap_re = re.compile('(.)([A-Z][a-z]+)')
all_cap_re = re.compile('([a-z0-9])([A-Z])')
def str2bool(v):
"""
Converts string to bool. True for any term from "yes", "true", "t", ... | /sbc_utils-1.0.2-py3-none-any.whl/sbc_utils/__init__.py | 0.63375 | 0.275142 | __init__.py | pypi |
import csv
import io
from typing import List
class Output:
TEXT = 'text'
CSV = 'csv'
TABLE = 'table'
CHOICES = ['text', 'csv', 'table']
def __init__(self, *headers: List[str]):
if not isinstance(headers, tuple) or not headers:
raise ValueError('expected list of strings for hea... | /sbcli_furlan-0.0.7-py3-none-any.whl/src/tools/output.py | 0.708717 | 0.186891 | output.py | pypi |
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