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 |
|---|---|---|---|---|---|
# Simply Block
[](https://github.com/simplyblock-io/ultra/actions/workflows/docker-image.yml)
## Web Api app
Please see this document
[WebApp/README.md](../WebApp/README.md)
## Command Line Interfa... | /sbcli-3.11.zip/sbcli-3.11/README.md | 0.514644 | 0.738528 | README.md | pypi |
from typing import Mapping
from management.models.base_model import BaseModel
class PortStat(BaseModel):
attributes = {
"uuid": {"type": str, 'default': ""},
"node_id": {"type": str, 'default': ""},
"date": {"type": int, 'default': 0},
"bytes_sent": {"type": int, 'default': 0},
... | /sbcli-3.11.zip/sbcli-3.11/management/models/device_stat.py | 0.573081 | 0.305931 | device_stat.py | pypi |
import pprint
import json
from typing import Mapping
import fdb
class BaseModel(object):
def __init__(self):
self._attribute_map = {
"id": {"type": str, "default": ""},
"name": {"type": str, "default": self.__class__.__name__},
"object_type": {"type": str, "default": ... | /sbcli-3.11.zip/sbcli-3.11/management/models/base_model.py | 0.548432 | 0.228038 | base_model.py | pypi |
from datetime import datetime
from typing import List
from management.models.base_model import BaseModel
from management.models.iface import IFace
from management.models.nvme_device import NVMeDevice
class LVol(BaseModel):
attributes = {
"lvol_name": {"type": str, 'default': ""},
"size": {"type... | /sbcli-3.11.zip/sbcli-3.11/management/models/storage_node.py | 0.716318 | 0.266181 | storage_node.py | pypi |
# SBcoyote: An Extensible Python-Based Reaction Editor and Viewer.
## Introduction
SBcoyote, initially called PyRKViewer or Coyote, is a cross-platform visualization tool for drawing reaction networks written with the
[wxPython](https://www.wxpython.org/) framework. It can draw reactants, products, reactions, and co... | /sbcoyote-1.4.4.tar.gz/sbcoyote-1.4.4/README.md | 0.887692 | 0.668718 | README.md | pypi |
from collections import defaultdict
from dataclasses import dataclass, fields, is_dataclass
from typing import (
Any,
Callable,
DefaultDict,
Dict,
List,
Optional,
Set,
Tuple,
Type, Union,
)
import wx
from rkviewer.canvas.geometry import Vec2
# -------------------------------------... | /sbcoyote-1.4.4.tar.gz/sbcoyote-1.4.4/rkviewer/events.py | 0.896686 | 0.599339 | events.py | pypi |
from dataclasses import dataclass
from enum import Enum
from rkviewer.config import Color
import wx
import abc
import copy
from typing import Any, List, Optional, Set, Tuple
from .canvas.geometry import Vec2
from .canvas.data import Compartment, Node, Reaction, ModifierTipStyle, CompositeShape
class IController(abc.A... | /sbcoyote-1.4.4.tar.gz/sbcoyote-1.4.4/rkviewer/mvc.py | 0.896614 | 0.340184 | mvc.py | pypi |
import wx
import abc
import math
from typing import Collection, Generic, List, Optional, Set, TypeVar, Callable
from .geometry import Rect, Vec2, rotate_unit
from .data import Node, Reaction
def get_nodes_by_idx(nodes: List[Node], indices: Collection[int]):
"""Simple helper that maps the given list of indices to ... | /sbcoyote-1.4.4.tar.gz/sbcoyote-1.4.4/rkviewer/canvas/utils.py | 0.868841 | 0.558146 | utils.py | pypi |
# pylint: disable=maybe-no-member
from sortedcontainers.sortedlist import SortedKeyList
from rkviewer.canvas.elements import CanvasElement, CompartmentElt, NodeElement
from rkviewer.canvas.state import cstate
from rkviewer.config import Color
import wx
import abc
from typing import Callable, List, cast
from .geometry i... | /sbcoyote-1.4.4.tar.gz/sbcoyote-1.4.4/rkviewer/canvas/overlays.py | 0.783864 | 0.406302 | overlays.py | pypi |
import abc
from dataclasses import dataclass
# pylint: disable=maybe-no-member
from enum import Enum, auto
from typing import List, Optional
import wx
from rkviewer.canvas.data import Node
from rkviewer.canvas.geometry import Vec2
from rkviewer.events import (DidAddCompartmentEvent, DidAddNodeEvent,
... | /sbcoyote-1.4.4.tar.gz/sbcoyote-1.4.4/rkviewer/plugin/classes.py | 0.818628 | 0.243879 | classes.py | pypi |
from rkviewer.utils import opacity_mul
from rkviewer.canvas.state import ArrowTip
import wx
from typing import List, Tuple
from rkviewer.plugin import api
from rkviewer.plugin.classes import PluginMetadata, WindowedPlugin, PluginCategory
from rkviewer.plugin.api import Vec2
class DesignerWindow(wx.Window):
"""
... | /sbcoyote-1.4.4.tar.gz/sbcoyote-1.4.4/rkviewer_plugins/arrow_designer.py | 0.923113 | 0.303887 | arrow_designer.py | pypi |
import wx
from rkviewer.plugin.classes import PluginMetadata, WindowedPlugin, PluginCategory
from rkviewer.plugin import api
from rkviewer.plugin.api import Vec2
import numpy as np
import math
class AlignCircle(WindowedPlugin):
metadata = PluginMetadata(
name='AlignCircle',
author='Evan Yip and Ji... | /sbcoyote-1.4.4.tar.gz/sbcoyote-1.4.4/rkviewer_plugins/align_circle.py | 0.778776 | 0.331647 | align_circle.py | pypi |
[](https://travis-ci.org/tfgm/sbedecoder)
Python based Simple Binary Encoding (SBE) decoder
=================================================
Overview
--------
sbedecoder is a simple python package for parsing SBE encoded data.
sbedecoder dyn... | /sbedecoder-0.1.10.tar.gz/sbedecoder-0.1.10/README.md | 0.420005 | 0.857768 | README.md | pypi |
from datetime import datetime
def mdp3time(t):
dt = datetime.fromtimestamp(t // 1000000000)
s = dt.strftime('%m/%d/%Y %H:%M:%S')
s += '.' + str(int(t % 1000000000)).zfill(9)
return s
def adjustField(field, secdef):
if field.semantic_type == 'UTCTimestamp':
return '{} ({})'.format(mdp3time(... | /sbedecoder-0.1.10.tar.gz/sbedecoder-0.1.10/mdp/prettyprinter.py | 0.525856 | 0.266512 | prettyprinter.py | pypi |
from struct import unpack_from
from .orderbook import OrderBook
class PacketProcessor(object):
def __init__(self, mdp_parser, secdef, security_id_filter=None):
self.mdp_parser = mdp_parser
self.secdef = secdef
self.security_id_filter = security_id_filter
self.stream_sequence_number... | /sbedecoder-0.1.10.tar.gz/sbedecoder-0.1.10/mdp/orderbook/packet_processor.py | 0.618204 | 0.169578 | packet_processor.py | pypi |
import numpy as np
import h5py
import argparse
import os
import plotting
def main(filename, save_location, iter_min, iter_max):
# Path to run-info file
fp_in = filename
# Path to output directory
fp_out = save_location + '/'
# Range to plot
iteration_range = [iter_min, iter_max]
# Plot h... | /sbelt-1.0.1-py3-none-any.whl/plots/plot_maker.py | 0.61878 | 0.224842 | plot_maker.py | pypi |
import logging
import requests
from .exceptions import ApiError, BadCredentialsException
class Client(object):
"""Performs requests to the SBER API."""
URL = 'https://3dsec.sberbank.ru/payment/rest/'
def __init__(self, username: str = None, password: str = None, token: str = None):
"""
... | /sber-payments-0.3.0.tar.gz/sber-payments-0.3.0/src/sber_payments/client.py | 0.506836 | 0.365683 | client.py | pypi |
import datetime
from cryptography import x509
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.asymmetric import rsa
from cryptography.x509.oid import NameOID
def gen... | /sberbank_async_cryptography-1.0.0-py3-none-any.whl/sb_async_cryptography/keys_generation.py | 0.600423 | 0.158923 | keys_generation.py | pypi |
from binascii import a2b_base64
from Cryptodome.Hash import SHA512
from Cryptodome.PublicKey import RSA
from Cryptodome.Signature import PKCS1_v1_5 as PKCS
from Cryptodome.Util.asn1 import DerSequence
def get_public_key_from_file(file_name):
with open(file_name) as f:
pem = f.read()
lines = pem.repla... | /sberbank_async_cryptography-1.0.0-py3-none-any.whl/sb_async_cryptography/signature.py | 0.749637 | 0.196961 | signature.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union, cast
import attr
from ..models.search_products_response_facets_item_options_item import SearchProductsResponseFacetsItemOptionsItem
from ..types import UNSET, Unset
T = TypeVar("T", bound="SearchProductsResponseFacetsItem")
... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/search_products_response_facets_item.py | 0.83471 | 0.166608 | search_products_response_facets_item.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreRetailerAppearance")
@attr.s(auto_attribs=True)
class StoreRetailerAppearance:
"""
Attributes:
background_color (Union[Unset, str]):
... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_retailer_appearance.py | 0.833155 | 0.284651 | store_retailer_appearance.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="StorePaymentMethodsStoresItemPaymentMethod")
@attr.s(auto_attribs=True)
class StorePaymentMethodsStoresItemPaymentMethod:
"""
Attributes:
... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_payment_methods_stores_item_payment_method.py | 0.850717 | 0.167287 | store_payment_methods_stores_item_payment_method.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreCity")
@attr.s(auto_attribs=True)
class StoreCity:
"""
Attributes:
id (Union[Unset, int]):
name (Union[Unset, str]):
... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_city.py | 0.810666 | 0.18881 | store_city.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="SearchProductsResponseRootCategoriesOptionsItem")
@attr.s(auto_attribs=True)
class SearchProductsResponseRootCategoriesOptionsItem:
"""
Attributes... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/search_products_response_root_categories_options_item.py | 0.856317 | 0.174287 | search_products_response_root_categories_options_item.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union, cast
import attr
from ..models.store_retailer_appearance import StoreRetailerAppearance
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreRetailer")
@attr.s(auto_attribs=True)
class StoreRetailer:
"""
A... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_retailer.py | 0.770465 | 0.183667 | store_retailer.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union, cast
import datetime
import attr
from dateutil.parser import isoparse
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreLicensesItem")
@attr.s(auto_attribs=True)
class StoreLicensesItem:
"""
Attributes... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_licenses_item.py | 0.838283 | 0.154376 | store_licenses_item.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreStoreShippingMethodsItemShippingMethod")
@attr.s(auto_attribs=True)
class StoreStoreShippingMethodsItemShippingMethod:
"""
Attributes:
... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_store_shipping_methods_item_shipping_method.py | 0.853882 | 0.17006 | store_store_shipping_methods_item_shipping_method.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreLocation")
@attr.s(auto_attribs=True)
class StoreLocation:
"""
Attributes:
id (Union[Unset, int]):
full_address (Union[Unset,... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_location.py | 0.777975 | 0.193948 | store_location.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union, cast
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreStoreZonesItem")
@attr.s(auto_attribs=True)
class StoreStoreZonesItem:
"""
Attributes:
id (Union[Unset, int]):
name (Un... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_store_zones_item.py | 0.812384 | 0.205555 | store_store_zones_item.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="SearchProductsResponseFacetsItemOptionsItem")
@attr.s(auto_attribs=True)
class SearchProductsResponseFacetsItemOptionsItem:
"""
Attributes:
... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/search_products_response_facets_item_options_item.py | 0.870968 | 0.223504 | search_products_response_facets_item_options_item.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union, cast
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="SearchProductsResponseProductsItem")
@attr.s(auto_attribs=True)
class SearchProductsResponseProductsItem:
"""
Attributes:
id (Union[... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/search_products_response_products_item.py | 0.745676 | 0.178293 | search_products_response_products_item.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreTenantsItem")
@attr.s(auto_attribs=True)
class StoreTenantsItem:
"""
Attributes:
id (Union[Unset, str]):
name (Union[Unset, s... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_tenants_item.py | 0.834474 | 0.156362 | store_tenants_item.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="SearchProductsResponseSortItem")
@attr.s(auto_attribs=True)
class SearchProductsResponseSortItem:
"""
Attributes:
key (Union[Unset, str]):... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/search_products_response_sort_item.py | 0.863435 | 0.192862 | search_products_response_sort_item.py | pypi |
from typing import Any, BinaryIO, Dict, List, Optional, TextIO, Tuple, Type, TypeVar, Union, cast
import attr
from ..types import UNSET, Unset
T = TypeVar("T", bound="StoreStoreScheduleTemplateDeliveryTimesItem")
@attr.s(auto_attribs=True)
class StoreStoreScheduleTemplateDeliveryTimesItem:
"""
Attributes:
... | /sbermarket_api-0.0.3-py3-none-any.whl/sbermarket_api/models/store_store_schedule_template_delivery_times_item.py | 0.815783 | 0.150029 | store_store_schedule_template_delivery_times_item.py | pypi |
# `sbi`: simulation-based inference
`sbi`: A Python toolbox for simulation-based inference.
Inference can be run in a single
line of code:
```python
posterior = infer(simulator, prior, method='SNPE', num_simulations=1000)
```
- To learn about the general motivation behind simula... | /sbi-0.21.0.tar.gz/sbi-0.21.0/docs/docs/index.md | 0.608361 | 0.993136 | index.md | pypi |
# Efficient handling of invalid simulation outputs
For many simulators, the output of the simulator can be ill-defined or it can have non-sensical values. For example, in neuroscience models, if a specific parameter set does not produce a spike, features such as the spike shape can not be computed. When using `sbi`, s... | /sbi-0.21.0.tar.gz/sbi-0.21.0/docs/docs/tutorial/08_restriction_estimator.md | 0.669096 | 0.991472 | 08_restriction_estimator.md | pypi |
# SBI with trial-based data and models of mixed data types
Trial-based data often has the property that the individual trials can be assumed to be independent and identically distributed (iid), i.e., they are assumed to have the same underlying model parameters. For example, in a decision-making experiments, the exper... | /sbi-0.21.0.tar.gz/sbi-0.21.0/docs/docs/tutorial/14_multi-trial-data-and-mixed-data-types.md | 0.852353 | 0.987711 | 14_multi-trial-data-and-mixed-data-types.md | pypi |
# Crafting summary statistics
Many simulators produce outputs that are high-dimesional. For example, a simulator might generate a time series or an image. In a [previous tutorial](https://www.mackelab.org/sbi/tutorial/05_embedding_net/), we discussed how a neural networks can be used to learn summary statistics from s... | /sbi-0.21.0.tar.gz/sbi-0.21.0/docs/docs/tutorial/10_crafting_summary_statistics.md | 0.746324 | 0.992154 | 10_crafting_summary_statistics.md | pypi |
# Active subspaces for sensitivity analysis
A standard method to analyse dynamical systems such as models of neural dynamics is to use a sensitivity analysis. We can use the posterior obtained with `sbi`, to perform such analyses.
## Main syntax
```python
from sbi.analysis import ActiveSubspace
sensitivity = Activ... | /sbi-0.21.0.tar.gz/sbi-0.21.0/docs/docs/tutorial/09_sensitivity_analysis.md | 0.810066 | 0.985186 | 09_sensitivity_analysis.md | pypi |
# Inference on Hodgkin-Huxley model: tutorial
In this tutorial, we use `sbi` to do inference on a [Hodgkin-Huxley model](https://en.wikipedia.org/wiki/Hodgkin%E2%80%93Huxley_model) from neuroscience (Hodgkin and Huxley, 1952). We will learn two parameters ($\bar g_{Na}$,$\bar g_K$) based on a current-clamp recording, ... | /sbi-0.21.0.tar.gz/sbi-0.21.0/docs/docs/examples/00_HH_simulator.md | 0.779616 | 0.984246 | 00_HH_simulator.md | pypi |
[](https://pypi.org/project/sbibm/)  [](https://github.com/sbi-benchmark/sbibm/blob/master/CONTRIBUTI... | /sbibm-1.1.0.tar.gz/sbibm-1.1.0/README.md | 0.811003 | 0.988142 | README.md | pypi |
from functools import partial
import distrax
import haiku as hk
import jax
import matplotlib.pyplot as plt
import optax
import seaborn as sns
from jax import numpy as jnp
from jax import random
from surjectors import (
Chain,
MaskedAutoregressive,
Permutation,
TransformedDistribution,
)
from surjectors... | /sbijax-0.0.12.tar.gz/sbijax-0.0.12/examples/bivariate_gaussian_snl.py | 0.732592 | 0.592843 | bivariate_gaussian_snl.py | pypi |
import distrax
import haiku as hk
import jax.nn
import matplotlib.pyplot as plt
import optax
import seaborn as sns
from jax import numpy as jnp
from jax import random
from surjectors import Chain, TransformedDistribution
from surjectors.bijectors.masked_autoregressive import MaskedAutoregressive
from surjectors.bijecto... | /sbijax-0.0.12.tar.gz/sbijax-0.0.12/examples/bivariate_gaussian_snp.py | 0.637482 | 0.469095 | bivariate_gaussian_snp.py | pypi |
import argparse
from functools import partial
import distrax
import haiku as hk
import jax
import matplotlib.pyplot as plt
import numpy as np
import optax
import pandas as pd
import seaborn as sns
from jax import numpy as jnp
from jax import random
from jax import scipy as jsp
from jax import vmap
from surjectors impo... | /sbijax-0.0.12.tar.gz/sbijax-0.0.12/examples/slcp_snl_masked_autoregressive.py | 0.538983 | 0.489381 | slcp_snl_masked_autoregressive.py | pypi |
import argparse
from functools import partial
import distrax
import haiku as hk
import jax
import matplotlib.pyplot as plt
import numpy as np
import optax
import pandas as pd
import seaborn as sns
from jax import numpy as jnp
from jax import random
from jax import scipy as jsp
from surjectors import (
AffineMasked... | /sbijax-0.0.12.tar.gz/sbijax-0.0.12/examples/slcp_snl_masked_coupling.py | 0.593138 | 0.424412 | slcp_snl_masked_coupling.py | pypi |
from functools import partial
import distrax
import haiku as hk
import jax
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from jax import numpy as jnp
from jax import random
from jax import scipy as jsp
from jax import vmap
from sbijax import SMCABC
from sbijax.mcmc impor... | /sbijax-0.0.12.tar.gz/sbijax-0.0.12/examples/slcp_smcabc.py | 0.692018 | 0.727189 | slcp_smcabc.py | pypi |
from typing import Callable, Dict, Type, TypeVar
from pydantic import ValidationError
from bin.commands.command import Command
from bin.commands.errors import CommandFailedError, CommandNotFound, CommandParseError
from bin.env.errors import EnvProvisionError
from bin.process.process import Process
ExitCode = int
T =... | /sbin-1.0.0.tar.gz/sbin-1.0.0/bin/error_handler.py | 0.700997 | 0.221098 | error_handler.py | pypi |
from typing import Any, Dict, List, Optional, Union
from pydantic import root_validator, validator
from bin.commands.command import Command
from bin.commands.errors import CommandParseError
from bin.commands.internal.factory import InternalCommandFactory
from bin.custom_commands.basic_command import BasicCommand
from... | /sbin-1.0.0.tar.gz/sbin-1.0.0/bin/custom_commands/dtos/command_tree_dto.py | 0.794823 | 0.291086 | command_tree_dto.py | pypi |
from typing import List
from bin.models.bin_base_model import BinBaseModel
from bin.process.helpable import Helpable
_PRE_CMD_SPACING = " " * 2
_DEFAULT_SPACING = " " * 4
_NAIVE_SPACING = " " * 2
class CommandSummary(BinBaseModel):
command: str
help: str
def cmd_part_length(self) -> int:
return... | /sbin-1.0.0.tar.gz/sbin-1.0.0/bin/commands/command_help.py | 0.621656 | 0.179728 | command_help.py | pypi |
import copy
import dataclasses
import hashlib
import inspect
import json
import re
import typing as tp
from collections.abc import Mapping, Sequence, Set
from datetime import date, datetime
import numpy as np
from playground.core.expcache.types_ import LazyObject, is_primitive_type
def function_source_hash(f: tp.Cal... | /sbm_exp_sdk-0.3.0-py3-none-any.whl/playground/core/expcache/hashing.py | 0.587707 | 0.168857 | hashing.py | pypi |
import typing as tp
from collections.abc import Mapping, Sequence, Set
from dataclasses import is_dataclass
import numpy as np
import pandas as pd
import polars as pl
from scipy.sparse import coo_matrix, csc_matrix, csr_matrix
T = tp.TypeVar("T")
class LazyObject(tp.Generic[T]):
data: tp.Optional[T]
def __... | /sbm_exp_sdk-0.3.0-py3-none-any.whl/playground/core/expcache/types_.py | 0.787278 | 0.23206 | types_.py | pypi |
import inspect
import os
from typing import Any, Callable, Dict, List, Optional, Set
from diskcache import Cache
from playground.core.expcache.hashing import function_source_hash, hash_arguments
if os.getenv("CACHE_PATH") is None:
raise Exception("CACHE_PATH envronment variable is not set")
cachedb = Cache(os.ge... | /sbm_exp_sdk-0.3.0-py3-none-any.whl/playground/core/expcache/db.py | 0.75101 | 0.169956 | db.py | pypi |
import typing as tp
from collections.abc import Mapping, Sequence, Set
from dataclasses import is_dataclass
from playground.core.expcache.hashing import JSON_TYPE_CASTER
from playground.core.expcache.types_ import (
Artifact,
LazyObject,
is_primitive_type,
is_registered_custom_type,
is_supported_ob... | /sbm_exp_sdk-0.3.0-py3-none-any.whl/playground/core/expcache/analyzer.py | 0.552298 | 0.165323 | analyzer.py | pypi |
from collections import defaultdict
from datetime import datetime
from typing import Any, Dict, Optional, Union
import pandas as pd
import polars as pl
from loguru import logger
from playground.core.data.dataset_base import Dataset
from playground.core.data.parquet_dataset import DatePartitionedParquetDataset, Parquet... | /sbm_exp_sdk-0.3.0-py3-none-any.whl/playground/core/data/catalog.py | 0.801354 | 0.400691 | catalog.py | pypi |
from collections.abc import Mapping
from copy import deepcopy
from datetime import datetime
from typing import Any, Dict, Optional, Union, cast
import pandas as pd
import polars as pl
from playground.core.data.dataset_base import Dataset
from playground.core.data.io import load_parquet
class ParquetDataset(Dataset):... | /sbm_exp_sdk-0.3.0-py3-none-any.whl/playground/core/data/parquet_dataset.py | 0.744935 | 0.322513 | parquet_dataset.py | pypi |
from pickle import dump as pdump
from pickle import load as pload
from tempfile import TemporaryDirectory
from typing import Any, Dict, Optional, Sequence, Union
import pandas as pd
import polars as pl
from fsspec import AbstractFileSystem
from joblib import dump as jdump
from joblib import load as jload
from loguru i... | /sbm_exp_sdk-0.3.0-py3-none-any.whl/playground/core/data/io.py | 0.726814 | 0.353847 | io.py | pypi |
import numpy as np
import random
import networkx as nx
def sbm_graph(n, k, a, b):
if n % k != 0:
raise ValueError('n %k != 0')
elif a <= b:
raise ValueError('a <= b')
sizes = [int(n/k) for _ in range(k)]
_p = np.log(n) * a / n
_q = np.log(n) * b / n
if _p > 1 or _q > 1:
... | /sbmising-0.1.tar.gz/sbmising-0.1/sbmising.py | 0.568895 | 0.28914 | sbmising.py | pypi |
pypi-download-stats
========================
[](https://pypi.python.org/pypi/sbnltk/)
[](https://pypi.python.org/pypi/sbnltk/)
[:
g = doc.graph()
dot_master = graphviz.Digraph()
dot = graphviz.Digraph(name='cluster_toplevels')
for obj in doc.objects:
dot.graph_attr['style'] = 'invis'
# Graph TopLevel
obj_label... | /sbol-utilities-1.0a14.tar.gz/sbol-utilities-1.0a14/sbol_utilities/graph_sbol.py | 0.427994 | 0.167797 | graph_sbol.py | pypi |
import argparse
import logging
import os
import sys
import time
from typing import Union, Tuple, Optional, Sequence
import rdflib.compare
import sbol3
def _load_rdf(fpath: Union[str, bytes, os.PathLike]) -> rdflib.Graph:
rdf_format = rdflib.util.guess_format(fpath)
graph1 = rdflib.Graph()
graph1.parse(fp... | /sbol-utilities-1.0a14.tar.gz/sbol-utilities-1.0a14/sbol_utilities/sbol_diff.py | 0.631026 | 0.3465 | sbol_diff.py | pypi |
# Introduction
1. Create an account on SynBioHub
2. Make sure you've downloaded `parts.xml` and it is placed somewhere convenient on your computer.
3. Make sure you've downloaded `results.txt` and it is placed somewhere convenient on your computer.
4. Install SBOL library in language of choice
# Getting a Device fro... | /sbol2-1.4.1.tar.gz/sbol2-1.4.1/examples/tutorial.ipynb | 0.550849 | 0.838481 | tutorial.ipynb | pypi |
# Introduction
1. Create an account on SynBioHub
2. Make sure you've downloaded `parts.xml` and it is placed somewhere convenient on your computer.
3. Make sure you've downloaded `results.txt` and it is placed somewhere convenient on your computer.
4. Install SBOL library in language of choice
# Getting a Device fro... | /sbol2-1.4.1.tar.gz/sbol2-1.4.1/examples/.ipynb_checkpoints/tutorial-checkpoint.ipynb | 0.550849 | 0.838481 | tutorial-checkpoint.ipynb | pypi |
from .optimizer_iteration import OptimizerIteration
import numpy as np
import qiskit.algorithms.optimizers.optimizer as qiskitopt
from typing import Dict, Optional, Union, Callable, Tuple, List
POINT = Union[float, np.ndarray]
# qiskit documentation for base Optimizer class:
# https://qiskit.org/documentation/_modul... | /optimizer/optimizer.py | 0.966244 | 0.589657 | optimizer.py | pypi |
import numpy as np
from scipy import optimize
from typing import Callable, Tuple, Any
def scott_bandwidth(n: int, d: int) -> float:
'''
Scott's Rule per D.W. Scott,
"Multivariate Density Estimation: Theory, Practice, and Visualization",
John Wiley & Sons, New York, Chicester, 1992
'''
return n... | /optimizer/optimizer_iteration.py | 0.9271 | 0.775817 | optimizer_iteration.py | pypi |
import math
import numpy as np
import scipy
from SALib.sample import (
saltelli,
sobol_sequence,
latin,
finite_diff,
fast_sampler,
)
#: the size of bucket to draw random samples
NUM_DATA_POINTS = 10000
SUPPORTED_RANDOM_METHODS_TITLES = {
"pseudo_random": "Pseudo Random",
"sobol_sequence": ... | /sbp_env-2.0.2-py3-none-any.whl/sbp_env/randomness.py | 0.761716 | 0.521045 | randomness.py | pypi |
import logging
import math
import random
import time
import re
from typing import Optional, List, Union
import numpy as np
from tqdm import tqdm
from . import engine
from .utils.common import Node, PlanningOptions, Stats
from .utils.csv_stats_logger import setup_csv_stats_logger, get_non_existing_filename
from .visua... | /sbp_env-2.0.2-py3-none-any.whl/sbp_env/env.py | 0.862685 | 0.205635 | env.py | pypi |
import random
from overrides import overrides
from ..samplers.baseSampler import Sampler
from ..samplers.randomPolicySampler import RandomPolicySampler
from ..utils import planner_registry
# noinspection PyAttributeOutsideInit
class BiRRTSampler(Sampler):
r"""
The sampler that is used internally by :class:`... | /sbp_env-2.0.2-py3-none-any.whl/sbp_env/samplers/birrtSampler.py | 0.757974 | 0.506164 | birrtSampler.py | pypi |
import random
import numpy as np
from overrides import overrides
from ..randomness import SUPPORTED_RANDOM_METHODS, RandomnessManager
from ..samplers.baseSampler import Sampler
from ..utils import planner_registry
class RandomPolicySampler(Sampler):
r"""Uniformly and randomly samples configurations across :math... | /sbp_env-2.0.2-py3-none-any.whl/sbp_env/samplers/randomPolicySampler.py | 0.76366 | 0.460895 | randomPolicySampler.py | pypi |
from typing import List
import networkx as nx
import numpy as np
from overrides import overrides
import tqdm
from ..utils.common import Node
from ..planners.rrtPlanner import RRTPlanner
from ..samplers import prmSampler
from ..utils import planner_registry
from ..utils.common import Colour, Stats
volume_of_unit_ball... | /sbp_env-2.0.2-py3-none-any.whl/sbp_env/planners/prmPlanner.py | 0.850096 | 0.60288 | prmPlanner.py | pypi |
from __future__ import annotations
from dataclasses import dataclass
from typing import Optional, Callable, Dict, Type, TYPE_CHECKING
if TYPE_CHECKING:
from ..planners.basePlanner import Planner
from ..samplers.baseSampler import Sampler
@dataclass
class BaseDataPack:
"""
Base data pack that is comm... | /sbp_env-2.0.2-py3-none-any.whl/sbp_env/utils/planner_registry.py | 0.911756 | 0.424591 | planner_registry.py | pypi |
0.4.0 (2023-06-30)
==================
* Updated minimum supported versions:
- Python 3.8
- `numpy` 1.18
- `astropy` 4.3
- `synphot` 1.1
- `astroquery` 0.4.5
New Features
------------
sbpy.activity
^^^^^^^^^^^^^
- Added ``VectorialModel.binned_production`` constructor for compatibility with
time-depende... | /sbpy-0.4.0.tar.gz/sbpy-0.4.0/CHANGES.rst | 0.902334 | 0.663505 | CHANGES.rst | pypi |
import sys
from io import TextIOWrapper, BytesIO
from numpy import array
from sbpy.data import Conf
from astropy.table import Table
from astropy.io import ascii
out = """
.. _field name list:
sbpy Field Names
================
The following table lists field names that are recognized by `sbpy`
when accessing `~sbpy.d... | /sbpy-0.4.0.tar.gz/sbpy-0.4.0/docs/compile_fieldnames.py | 0.722527 | 0.578448 | compile_fieldnames.py | pypi |
About sbpy
==========
What is sbpy?
-------------
`sbpy` is an `~astropy` affiliated package for small-body planetary
astronomy. It is meant to supplement functionality provided by
`~astropy` with functions and methods that are frequently used in the
context of planetary astronomy with a clear focus on asteroids and... | /sbpy-0.4.0.tar.gz/sbpy-0.4.0/docs/about.rst | 0.932546 | 0.893309 | about.rst | pypi |
# Haser model
Reproduce Fig. 1 of Combi et al. (2004): Column density versus project distance for a family of Haser model profiles of a daughter species.
```
import numpy as np
import matplotlib.pyplot as plt
import astropy.units as u
from sbpy.activity import Haser
% matplotlib notebook
Q = 1e28 / u.s
v = 1 * u.k... | /sbpy-0.4.0.tar.gz/sbpy-0.4.0/examples/activity/haser-model.ipynb | 0.480722 | 0.9455 | haser-model.ipynb | pypi |
# Estimating Coma Continuum
```
import numpy as np
import matplotlib.pyplot as plt
import astropy.units as u
import astropy.constants as const
from sbpy.activity import Afrho, Efrho
from mskpy.calib import solar_flux
% matplotlib notebook
afrho = Afrho(5000 * u.cm)
efrho = Efrho(afrho * 3.5)
# eph = Ephem.from_hori... | /sbpy-0.4.0.tar.gz/sbpy-0.4.0/examples/activity/estimating-coma-continuum.ipynb | 0.667148 | 0.893263 | estimating-coma-continuum.ipynb | pypi |
def reverse_num(num):
"""Returns an integer
Reverse of a number passed as argument
"""
rev = 0
while num > 0:
rev = (rev * 10) + (num % 10)
num //= 10
return rev
def sum_of_digits(num):
"""Returns an integer
Sum of the digits of a number passed as argument
"""
... | /sbpyp-0.0.1.tar.gz/sbpyp-0.0.1/src/number_utility.py | 0.780035 | 0.813535 | number_utility.py | pypi |
sbs-gob-pe-helper
==============================
Nota : Te recomendamos revisar la [Nota legal](docs/NotaLegal.md) antes de emplear la libreria.
**sbs-gob-pe-helper** ofrece una forma Pythonica de descargar datos de mercado de la [Superintendencia de Banca y Seguros del Perú](https://www.sbs.gob.pe/), mediante web s... | /sbs-gob-pe-helper-0.0.2.tar.gz/sbs-gob-pe-helper-0.0.2/README.md | 0.704567 | 0.873862 | README.md | pypi |
from .base import SolutionByTextAPI
class Message(SolutionByTextAPI):
"""
Send sms to subscriber.
"""
service_end_point = 'MessageRSService.svc/SendMessage'
def __init__(self, security_token:str, org_code:str, stage:str, phone:str, message:str, custom_data=None):
super().__init__(
... | /sbt-python-client-1.0.8.tar.gz/sbt-python-client-1.0.8/solutions_by_text/message.py | 0.70202 | 0.285755 | message.py | pypi |
from abc import ABC
from enum import Enum
from typing import Type
import pandas as pd
from .configs import PortfolioAggregationConfig, ColumnsConfig
from .interfaces import EScope
class PortfolioAggregationMethod(Enum):
"""
The portfolio aggregation method determines how the temperature scores for the indivi... | /sbti_finance_tool-1.0.9-py3-none-any.whl/SBTi/portfolio_aggregation.py | 0.871728 | 0.32742 | portfolio_aggregation.py | pypi |
from enum import Enum
from typing import Optional, Dict, List
import pandas as pd
from pydantic import BaseModel, validator, Field
class AggregationContribution(BaseModel):
company_name: str
company_id: str
temperature_score: float
contribution_relative: Optional[float]
contribution: Optional[flo... | /sbti_finance_tool-1.0.9-py3-none-any.whl/SBTi/interfaces.py | 0.92698 | 0.224895 | interfaces.py | pypi |
from typing import Optional, List
import requests
from SBTi.data.data_provider import DataProvider
from SBTi.interfaces import IDataProviderTarget, IDataProviderCompany
class Bloomberg(DataProvider):
"""
Data provider skeleton for Bloomberg.
"""
def _request(self, endpoint: str, data: dict) -> Opti... | /sbti_finance_tool-1.0.9-py3-none-any.whl/SBTi/data/bloomberg.py | 0.599251 | 0.498047 | bloomberg.py | pypi |
from typing import List, Type
import requests
import pandas as pd
import warnings
from SBTi.configs import PortfolioCoverageTVPConfig
from SBTi.interfaces import IDataProviderCompany
class SBTi:
"""
Data provider skeleton for SBTi. This class only provides the sbti_validated field for existing companies.
... | /sbti_finance_tool-1.0.9-py3-none-any.whl/SBTi/data/sbti.py | 0.707203 | 0.2296 | sbti.py | pypi |
from typing import List
from SBTi.data.data_provider import DataProvider
from SBTi.interfaces import IDataProviderCompany, IDataProviderTarget
class Trucost(DataProvider):
"""
Data provider skeleton for Trucost.
"""
def get_targets(self, company_ids: List[str]) -> List[IDataProviderTarget]:
... | /sbti_finance_tool-1.0.9-py3-none-any.whl/SBTi/data/trucost.py | 0.461988 | 0.561335 | trucost.py | pypi |
from typing import List
from pydantic import ValidationError
import logging
import pandas as pd
from SBTi.data.data_provider import DataProvider
from SBTi.interfaces import IDataProviderCompany, IDataProviderTarget
class CSVProvider(DataProvider):
"""
Data provider skeleton for CSV files. This class serves p... | /sbti_finance_tool-1.0.9-py3-none-any.whl/SBTi/data/csv.py | 0.820397 | 0.383237 | csv.py | pypi |
from typing import Type, List
from pydantic import ValidationError
import logging
import pandas as pd
from SBTi.data.data_provider import DataProvider
from SBTi.configs import ColumnsConfig
from SBTi.interfaces import IDataProviderCompany, IDataProviderTarget
class ExcelProvider(DataProvider):
"""
Data provi... | /sbti_finance_tool-1.0.9-py3-none-any.whl/SBTi/data/excel.py | 0.804866 | 0.40987 | excel.py | pypi |
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
import flax.linen as nn
import jax
import jax.numpy as jnp
import numpy as np
import optax
import tensorflow_probability
from flax.training.train_state import TrainState
from gymnasium import spaces
from stable_baselines3.common.type_aliases impor... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/sac/policies.py | 0.943099 | 0.314643 | policies.py | pypi |
from functools import partial
from typing import Any, Dict, Optional, Tuple, Type, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
import numpy as np
import optax
from flax.training.train_state import TrainState
from gymnasium import spaces
from stable_baselines3.common.buffers import Repl... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/sac/sac.py | 0.861596 | 0.247044 | sac.py | pypi |
from typing import Any, Callable, Dict, List, Optional, Union
import flax.linen as nn
import jax
import jax.numpy as jnp
import numpy as np
import optax
from gymnasium import spaces
from stable_baselines3.common.type_aliases import Schedule
from sbx.common.policies import BaseJaxPolicy
from sbx.common.type_aliases im... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/dqn/policies.py | 0.903495 | 0.328799 | policies.py | pypi |
import warnings
from typing import Any, Dict, Optional, Tuple, Type, Union
import gymnasium as gym
import jax
import jax.numpy as jnp
import numpy as np
import optax
from stable_baselines3.common.type_aliases import GymEnv, MaybeCallback, Schedule
from stable_baselines3.common.utils import get_linear_fn
from sbx.comm... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/dqn/dqn.py | 0.915583 | 0.356923 | dqn.py | pypi |
from typing import Any, Dict, Optional, Tuple, Type, Union
from stable_baselines3.common.buffers import ReplayBuffer
from stable_baselines3.common.noise import ActionNoise
from stable_baselines3.common.type_aliases import GymEnv, Schedule
from sbx.tqc.policies import TQCPolicy
from sbx.tqc.tqc import TQC
class DroQ... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/droq/droq.py | 0.913387 | 0.311453 | droq.py | pypi |
from typing import Any, Callable, Dict, List, Optional, Union
import flax.linen as nn
import gymnasium as gym
import jax
import jax.numpy as jnp
import numpy as np
import optax
import tensorflow_probability
from flax.linen.initializers import constant
from flax.training.train_state import TrainState
from gymnasium imp... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/ppo/policies.py | 0.957188 | 0.345768 | policies.py | pypi |
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
import flax.linen as nn
import jax
import jax.numpy as jnp
import numpy as np
import optax
import tensorflow_probability
from flax.training.train_state import TrainState
from gymnasium import spaces
from stable_baselines3.common.type_aliases impor... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/tqc/policies.py | 0.940606 | 0.346458 | policies.py | pypi |
from functools import partial
from typing import Any, Dict, Optional, Tuple, Type, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
import numpy as np
import optax
from flax.training.train_state import TrainState
from gymnasium import spaces
from stable_baselines3.common.buffers import Repl... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/tqc/tqc.py | 0.850996 | 0.258066 | tqc.py | pypi |
from typing import Any, Dict, List, Optional, Tuple, Type, Union
import jax
import numpy as np
from gymnasium import spaces
from stable_baselines3 import HerReplayBuffer
from stable_baselines3.common.buffers import DictReplayBuffer, ReplayBuffer
from stable_baselines3.common.noise import ActionNoise
from stable_baseli... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/common/off_policy_algorithm.py | 0.922805 | 0.25497 | off_policy_algorithm.py | pypi |
from typing import Any, Dict, List, Optional, Tuple, Type, TypeVar, Union
import gymnasium as gym
import jax
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_baselines3.c... | /sbx_rl-0.7.0-py3-none-any.whl/sbx/common/on_policy_algorithm.py | 0.936952 | 0.257088 | on_policy_algorithm.py | pypi |
[](https://github.com/GuignardLab/sc3D/raw/main/LICENSE)
[](https://pypi.org/project/sc-3D)
[](https://python.org... | /sc-3D-1.1.0.tar.gz/sc-3D-1.1.0/README.md | 0.693161 | 0.989511 | README.md | pypi |
import numpy as np
import math
class transformations:
_EPS = np.finfo(float).eps * 4.0
@classmethod
def unit_vector(clf, data, axis=None, out=None):
"""Return ndarray normalized by length, i.e. Euclidean norm, along axis.
>>> v0 = numpy.random.random(3)
>>> v1 = unit_vector(v0)
... | /sc-3D-1.1.0.tar.gz/sc-3D-1.1.0/src/sc3D/transformations.py | 0.878255 | 0.624064 | transformations.py | pypi |
import numpy as np
from sklearn.preprocessing import LabelEncoder
from anndata import AnnData
from typing import Optional
from time import time
from sc_FlowGrid._sc_FlowGrid import *
def calinski_harabasz_score(X, labels):
"""Compute the Calinski and Harabasz score.
It is also known as the Variance Ratio Criter... | /sc_FlowGrid-0.1.tar.gz/sc_FlowGrid-0.1/sc_FlowGrid/_sc_autoFlowGrid.py | 0.867345 | 0.73338 | _sc_autoFlowGrid.py | pypi |
import pandas as pd
import os
def get_data(data_name='adj_close_price',
columns=None,
start_time='2016-01-01', end_time='2021-01-01',
frequency=1):
base_data_names = ['adj_close_price', 'adj_open_price', 'adj_high_price', 'adj_low_price',
'volume', 'va... | /sc-backtest-0.1.14.tar.gz/sc-backtest-0.1.14/sc_backtest/dataset.py | 0.400046 | 0.284399 | dataset.py | pypi |
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