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""" Run every example in examples/ (aiohttp server with request id logging implemented) and try to call it. The examples are run one by one - each test starts the example server on a free port, calls it and checks the response, the response header with the request id and the log output. """ from aiohttp import Client...
messa/aiohttp-request-id-logging
tests/examples/test_demo.py
.py
8f08e9f1359a54f5
8.06
12
"""note-python binary upload example. This example uploads binary data to a Notehub proxy route using the high-speed chunked upload mechanism. The data is staged through the Notecard's binary buffer and sent to Notehub via web.post. Before running this example: 1. Create a Proxy Route in your Notehub project (e.g. po...
blues/note-python
examples/binary-mode/upload/binary_upload_example.py
.py
9102c773a777b4e1
7.64
18
#!/usr/bin/env python3 """Minimal HTTP server that receives binary files routed from Notehub. Receives binary files via a General HTTP/HTTPS route and saves them to the current directory. Usage: python3 receive_binary.py [port] Default port: 8080 Setup: 1. Run this script (optionally with ngrok to expos...
blues/note-python
examples/binary-mode/upload/receive_binary.py
.py
4c2f8e19cf776389
7.64
18
"""note-python CircuitPython example. This file contains a complete working sample for using the note-python library on a CircuitPython device. """ import sys import time import notecard if sys.implementation.name != "circuitpython": raise Exception("Please run this example in a CircuitPython environment.") impo...
blues/note-python
examples/notecard-basics/cpy_example.py
.py
6a3525c7d3a51eef
7.64
18
"""note-python MicroPython example. This file contains a complete working sample for using the note-python library on a MicroPython device. """ import sys import time import notecard if sys.implementation.name != "micropython": raise Exception("Please run this example in a MicroPython environment.") from machine...
blues/note-python
examples/notecard-basics/mpy_example.py
.py
04f8712b6eafb487
7.64
18
"""note-python CircuitPython Outboard Firmware Update example. This file contains a complete working sample for demonstrating Notecard Outboard Firmware Update from CircuitPython. It configures the Notecard to enable Outboard Firmware Update for the host, then blinks the built-in LED with a recognizable pattern that s...
blues/note-python
examples/outboard-dfu/circuit-python/code.py
.py
12ed1e45db2e0653
7.64
18
"""Helper methods for doing binary transfers to/from a Notecard.""" import sys from notecard.cobs import cobs_encode, cobs_decode from notecard.notecard import Notecard, CARD_INTRA_TRANSACTION_TIMEOUT_SEC BINARY_RETRIES = 2 if sys.implementation.name == 'cpython': import hashlib def _md5_hash(data): ...
blues/note-python
notecard/binary_helpers.py
.py
ecd0eed65045a9a0
7.64
18
"""Methods for COBS encoding and decoding arbitrary bytearrays.""" def cobs_encode(data: bytearray, eop: int) -> bytearray: """COBS encode an array of bytes, using eop as the end of packet marker.""" cobs_overhead = 1 + (len(data) // 254) encoded = bytearray(len(data) + cobs_overhead) code = 1 idx...
blues/note-python
notecard/cobs.py
.py
6fbe649934cdb219
7.64
18
"""Module for computing the CRC32 of arbitrary data.""" crc32_lookup_table = [ 0x00000000, 0x1DB71064, 0x3B6E20C8, 0x26D930AC, 0x76DC4190, 0x6B6B51F4, 0x4DB26158, 0x5005713C, 0xEDB88320, 0xF00F9344, 0xD6D6A3E8, 0xCB61B38C, 0x9B64C2B0, 0x86D3D2D4, 0xA00AE278, 0xBDBDF21C ] def _logical_rshift(val, shift_am...
blues/note-python
notecard/crc32.py
.py
bb22b8155bfafb2a
7.64
18
"""dfu Fluent API Helper.""" ## # @file dfu.py # # @brief dfu Fluent API Helper. # # @section description Description # This module contains helper methods for calling dfu.* Notecard API commands. # This module is optional and not required for use with the Notecard. from notecard.validators import validate_card_objec...
blues/note-python
notecard/dfu.py
.py
9b86ea1248658c32
7.64
18
"""Module for computing MD5 hash for MicroPython and CircuitPython.""" """ Copyright [2018] [Mauro Riva <lemariva@mail.com> <lemariva.com>] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www...
blues/note-python
notecard/md5.py
.py
18eb213a78de6fa5
7.64
18
"""Module for managing timeouts in note-python.""" import sys import time use_rtc = sys.implementation.name != 'micropython' and sys.implementation.name != 'circuitpython' if not use_rtc: if sys.implementation.name == 'circuitpython': import supervisor from supervisor import ticks_ms _TI...
blues/note-python
notecard/timeout.py
.py
2434e612992b537d
7.64
18
"""TransactionManager-related code for note-python.""" import sys import time from notecard.timeout import start_timeout, has_timed_out from notecard.gpio import GPIO class TransactionManager: """Class for managing the start and end of Notecard transactions. Some Notecards need to be signaled via GPIO when...
blues/note-python
notecard/transaction_manager.py
.py
9c663ba89bb6e4ed
7.64
18
"""Main Validation decorators for note-python.""" ## # @file validators.py # # @brief Validation decorators for note-python. import sys import notecard if sys.implementation.name == "cpython": import functools def validate_card_object(func): """Ensure that the passed-in card is a Notecard.""" ...
blues/note-python
notecard/validators.py
.py
19b95bb7b34d28db
7.64
18
#!/usr/bin/env python3 """Generate Notecard API functions from notecard-schema.""" import requests import time from pathlib import Path from typing import Dict, List, Optional, Any import argparse class NotecardAPIGenerator: """Generate Python API functions from Notecard JSON schema.""" reserved_keywords = ...
blues/note-python
scripts/generate_apis.py
.py
954fac0fae3c3a71
7.64
18
import sys import os import pytest from unittest.mock import MagicMock sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../..'))) import notecard # noqa: E402 @pytest.fixture def run_fluent_api_notecard_api_mapping_test(): def _run_test(fluent_api, notecard_api_name, ...
blues/note-python
test/fluent_api/conftest.py
.py
0ea16978e126f8a0
7.14
18
#!/usr/bin/env python3 # # This file is part of the MicroPython project, http://micropython.org/ # # The MIT License (MIT) # # Copyright (c) 2014-2021 Damien P. George # Copyright (c) 2017 Paul Sokolovsky # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated ...
blues/note-python
test/hitl/deps/pyboard.py
.py
7c1a71ca7ec31faa
7.14
18
from __future__ import annotations import os import sys from abc import ABC, abstractmethod from pathlib import Path from typing import Any from loguru import logger from imod_coupler.config import BaseConfig def resolve_path(libname: str) -> str: match sys.platform.lower(): case "win32": e...
Deltares/imod_coupler
imod_coupler/drivers/driver.py
.py
060b4495f840891a
7.63
17
"""MetaMod: the coupling between MetaSWAP and MODFLOW 6 description: """ from __future__ import annotations from pathlib import Path from typing import Any import numpy as np from loguru import logger from numpy.typing import NDArray from imod_coupler.config import BaseConfig from imod_coupler.drivers.driver impo...
Deltares/imod_coupler
imod_coupler/drivers/metamod/metamod.py
.py
5f82768d394f7967
7.63
17
from typing import Any import numpy as np from numpy.typing import NDArray from imod_coupler.kernelwrappers.mf6_wrapper import Mf6Wrapper from imod_coupler.kernelwrappers.ribasim_wrapper import RibasimWrapper from imod_coupler.utils import MemoryExchange class ExchangeBalance: demands: dict[str, NDArray[np.floa...
Deltares/imod_coupler
imod_coupler/drivers/ribametamod/exchange.py
.py
d9f88d22b7418d1d
7.63
17
"""Ribamod: the coupling between MetaSWAP and MODFLOW 6 description: """ from __future__ import annotations import typing from collections import ChainMap from typing import Any import numpy as np from loguru import logger from numpy.typing import NDArray from scipy.sparse import csr_matrix from imod_coupler.conf...
Deltares/imod_coupler
imod_coupler/drivers/ribamod/ribamod.py
.py
567235ac1f51c434
7.63
17
from __future__ import annotations from pathlib import Path from sys import stderr from typing import Any import numpy as np from loguru import logger from numpy.typing import NDArray from scipy.sparse import csr_matrix from imod_coupler.config import LogLevel from imod_coupler.logging.exchange_collector import Exch...
Deltares/imod_coupler
imod_coupler/utils.py
.py
29fc739c31bc3d7b
7.63
17
import abc from collections.abc import Sequence from pathlib import Path from typing import Any from primod.driver_coupling.driver_coupling_base import DriverCoupling class CoupledModel(abc.ABC): coupling_list: Sequence[DriverCoupling] @abc.abstractmethod def write(self, directory: str | Path, *args: An...
Deltares/imod_coupler
pre-processing/primod/coupled_model.py
.py
36d0dafad22f9cb4
7.63
17
import abc from pathlib import Path from typing import Any from pydantic import BaseModel class DriverCoupling(BaseModel, abc.ABC): """ Abstract base class for driver couplings. """ # Config required for e.g. geodataframes model_config = {"arbitrary_types_allowed": True} @abc.abstractmethod...
Deltares/imod_coupler
pre-processing/primod/driver_coupling/driver_coupling_base.py
.py
adf5e20688d5f544
7.63
17
import geopandas as gpd import numpy as np import pandas as pd import ribasim import xarray as xr from imod.mf6 import Drainage, GroundwaterFlowModel, Modflow6Simulation, River from numpy.typing import NDArray from ribasim.config import Basin, UserDemand from primod.typing import Int def _get_gwf_modelnames(mf6_simu...
Deltares/imod_coupler
pre-processing/primod/driver_coupling/util.py
.py
ae6cb4e2460ddbfe
7.63
17
import abc from io import TextIOWrapper from pathlib import Path from typing import Any import pandas as pd import xarray as xr from imod.msw.fixed_format import VariableMetaData, format_fixed_width from numpy.typing import NDArray class GenericMapping(abc.ABC): name: str dataframe: pd.DataFrame def wri...
Deltares/imod_coupler
pre-processing/primod/mapping/mappingbase.py
.py
50d9de00a1160268
7.63
17
import geopandas as gpd import numpy as np import pandas as pd import xarray as xr from numpy.typing import NDArray from scipy.spatial import KDTree from primod.mapping.mappingbase import GenericMapping from primod.typing import Bool, Float, Int class NodeBasinMapping(GenericMapping): def __init__( self,...
Deltares/imod_coupler
pre-processing/primod/mapping/node_basin_mapping.py
.py
5239211a1c29afbe
7.63
17
from pathlib import Path from typing import Any import numpy as np import pandas as pd import xarray as xr class ModMaxLayer: dataset: dict[str, Any] _file_name: str = "nodes_max_layer.tsv" def __init__(self, mod_id: xr.DataArray, mf6_max_layer: xr.DataArray) -> None: self.dataset = {} s...
Deltares/imod_coupler
pre-processing/primod/mapping/node_max_layer.py
.py
4e49f0fb3c847d48
7.63
17
import numpy as np import xarray as xr from imod import mf6 from imod.msw.fixed_format import VariableMetaData from numpy.typing import NDArray from primod.mapping.mappingbase import MetaModMapping from primod.typing import Int class NodeSvatMapping(MetaModMapping): """ This contains the data to connect MODF...
Deltares/imod_coupler
pre-processing/primod/mapping/node_svat_mapping.py
.py
14ca67bc40ea4fe5
7.63
17
import numpy as np import xarray as xr from imod import mf6 from imod.msw.fixed_format import VariableMetaData from numpy.typing import NDArray from primod.mapping.mappingbase import MetaModMapping from primod.typing import Int class RechargeSvatMapping(MetaModMapping): """ This contains the data to connect ...
Deltares/imod_coupler
pre-processing/primod/mapping/rch_svat_mapping.py
.py
cdad1e52ce4772da
7.63
17
from io import TextIOWrapper from typing import Any import numpy as np import pandas as pd import xarray as xr from imod.mf6.mf6_wel_adapter import Mf6Wel from imod.msw.fixed_format import VariableMetaData from numpy.typing import NDArray from primod.mapping.mappingbase import MetaModMapping from primod.typing import...
Deltares/imod_coupler
pre-processing/primod/mapping/wel_svat_mapping.py
.py
16a20538e29d29d0
7.63
17
from collections.abc import Sequence from pathlib import Path from typing import Any import tomli_w from imod.mf6 import Modflow6Simulation from imod.msw import MetaSwapModel from primod.coupled_model import CoupledModel from primod.driver_coupling.metamod import MetaModDriverCoupling from primod.model_mixin import M...
Deltares/imod_coupler
pre-processing/primod/metamod.py
.py
cde165af6cfc4b10
7.63
17
"""Module containing mixins for specific kernels, for example MODFLOW.""" from imod.mf6 import Modflow6Simulation, StructuredDiscretization from imod.mf6.mf6_wel_adapter import Mf6Wel class MetaModMixin: """MetaSWAP-Modflow coupling specific methods.""" @staticmethod def get_mf6_pkgs_for_metaswap( ...
Deltares/imod_coupler
pre-processing/primod/model_mixin.py
.py
6d7682a0c3a077f8
7.63
17
from collections.abc import Sequence from pathlib import Path from typing import Any import ribasim import tomli_w from imod.mf6 import Modflow6Simulation from imod.msw import MetaSwapModel from primod.coupled_model import CoupledModel from primod.driver_coupling.driver_coupling_base import DriverCoupling from primod...
Deltares/imod_coupler
pre-processing/primod/ribametamod.py
.py
5af1162227ca8080
7.63
17
from collections.abc import Sequence from pathlib import Path from typing import Any import ribasim import tomli_w from imod.mf6 import Modflow6Simulation from primod.coupled_model import CoupledModel from primod.driver_coupling.ribamod import RibaModDriverCoupling from primod.driver_coupling.util import ( _valid...
Deltares/imod_coupler
pre-processing/primod/ribamod.py
.py
becd646f213e9d29
7.63
17
from pathlib import Path import markdown import yaml import git def convert_markdown(text): """Convert Markdown text to HTML.""" return markdown.markdown(text, extensions=["extra"]) def build_html_table_with_card(rows, headers=None): """Build an HTML table with a special card formatting in the 'readme'...
cta-observatory/lstmcpipe
docs/produce_config_page.py
.py
68b0e023a9dcf6cf
7.48
8
#!/usr/bin/env python from ruamel.yaml import YAML import logging log = logging.getLogger(__name__) def load_config(config_path): """ Load the pipeline config, test for invalid values and set paths to the data files/directories. Parameters: ----------- config_path: str or Path-like object ...
cta-observatory/lstmcpipe
lstmcpipe/config/pipeline_config.py
.py
59562c801d7d98a7
7.48
8
from lstmcpipe.config import export_env from lstmcpipe.config.pipeline_config import ( config_valid, complete_lstmcpipe_config, ) import tempfile import os import pytest # from datetime import datetime yaml_keys = ["prod_id", "stages_to_run", "prod_type", "workflow_kind", "stages"] dummy_config = {k: None for...
cta-observatory/lstmcpipe
lstmcpipe/config/tests/test_pipeline_config.py
.py
f03a528102296fe1
7.98
8
# !/usr/bin/env python3 # Everything is hardcoded to LST telescopes - because this is just a temporal work that will no longer be used # in the moment lstchain upgrades to V0.8 import os import tables import argparse import numpy as np from astropy.table import Table, vstack, join from astropy.io.misc.hdf5 import wri...
cta-observatory/lstmcpipe
lstmcpipe/hiperta/reorganize_dl1hiperta300_to_dl1lstchain060.py
.py
aa21f3013f605ce0
7.48
8
#!/usr/bin/env python3 # # Reorganize the DL1 output files of the HiPeRTA and HiPeCTA r0_to_dl1 codes to reach the lstchain # file structure for DL1 files # # Usage : # $ python reorganize_dl1_file -i input.h5 [-o outname.h5] import os import copy import tables import argparse import numpy as np import pandas as pd im...
cta-observatory/lstmcpipe
lstmcpipe/hiperta/reorganize_dl1hiperta_to_dl1lstchain.py
.py
583b1dbf2c8b0f06
7.48
8
# library of functions used for LST analysis data management import os import sys import shutil from pathlib import Path _TRUE_VALUES = {"y", "yes", "t", "true", "on", "1"} _FALSE_VALUES = {"n", "no", "f", "false", "off", "0"} def strtobool(val): """Convert a string representation of truth to True or False, lik...
cta-observatory/lstmcpipe
lstmcpipe/io/data_management.py
.py
8ef661c60aecb2b9
7.48
8
#!/usr/bin/env python import shutil from pathlib import Path from lstmcpipe import prod_logs, __version__ def backup_log(file): """ Backups a log file. This scenario should only happens if a MC prod is relaunched because it failed. Parameters ---------- file : Path Path object to the...
cta-observatory/lstmcpipe
lstmcpipe/io/lstmcpipe_tree_path.py
.py
fd7fde5e9e984e47
7.48
8
import subprocess import json import logging import argparse from pathlib import Path from packaging import version from lstchain.io.config import get_mc_config from lstchain import __version__ as lstchain_version BASE_LSTCHAIN_MC_CONFIG = get_mc_config() # Configure logging logging.basicConfig(level=logging.INFO) #...
cta-observatory/lstmcpipe
lstmcpipe/scripts/generate_nsb_levels_configs.py
.py
78138cd9963d93f9
7.48
8
# #!/usr/bin/env python import argparse from pathlib import Path from datetime import date from lstmcpipe.config import paths_config from lstmcpipe.utils import dump_lstchain_std_config class ParseKwargs(argparse.Action): """ Parse a string formatted as `option1=foo` into a dict `{option1: foo}` """ ...
cta-observatory/lstmcpipe
lstmcpipe/scripts/lstmcpipe_generate_config.py
.py
caf69bc46b29dfeb
7.48
8
# #!/usr/bin/env python import logging import argparse from pathlib import Path import ctaplot import matplotlib.pyplot as plt from lstmcpipe.plots.plot_irfs import plot_summary_from_file def plot_comparison(filelist, outfile=None, cta_north=False): """ Create a 2x2 plot comparing different sensitivity curve...
cta-observatory/lstmcpipe
lstmcpipe/scripts/script_compare_irfs.py
.py
6c7b74b3ea7ad8ee
7.48
8
""" Procedure adapted from pyirf v0.4 example one (used with eventdisplay) """ import logging import operator from pathlib import Path import numpy as np from astropy import table import astropy.units as u from astropy.io import fits from pyirf.binning import ( create_bins_per_decade, add_overflow_bins, c...
cta-observatory/lstmcpipe
lstmcpipe/scripts/script_dl2_to_sensitivity.py
.py
22f9325ed6ea45f8
7.48
8
#!/usr/bin/env python import shutil import argparse from pathlib import Path from sklearn.model_selection import train_test_split parser = argparse.ArgumentParser( description="Script to move a directory and its content after creating the destination" " directory." ) parser.add_argument( "--input_dir", "...
cta-observatory/lstmcpipe
lstmcpipe/scripts/script_train_test_splitting.py
.py
b7373222c70c5f39
7.98
8
# Most of the tests based on # https://github.com/cta-observatory/cta-lstchain/blob/master/lstchain/scripts/tests/test_lstchain_scripts.py import pytest import subprocess from importlib.metadata import entry_points def find_entry_points(package_name): """from: https://stackoverflow.com/a/47383763/3838691""" ...
cta-observatory/lstmcpipe
lstmcpipe/scripts/tests/test_scripts.py
.py
b99b82ec4cf5d642
7.98
8
""" This module provides an interface to the Elastic Compute Service (ECS) service from Alicloud. """ from footmark.dns.connection import DNSConnection from footmark.regioninfo import get_regions def regions(**kw_params): """ Get all available regions for the ECS service. You may pass any of the arguments...
alibaba/footmark
footmark/dns/__init__.py
.py
8c5581b26037cd9c
7.6
15
""" This module provides an interface to the Elastic Compute Service (ECS) service from Alicloud. """ from footmark.ecs.connection import ECSConnection from footmark.regioninfo import get_regions def regions(**kw_params): """ Get all available regions for the ECS service. You may pass any of the arguments...
alibaba/footmark
footmark/ecs/__init__.py
.py
963e885ff150acb0
7.6
15
class ECSObject(object): def __init__(self, connection=None): self.connection = connection if self.connection and hasattr(self.connection, 'region'): self.region = connection.region else: self.region = None class TaggedECSObject(ECSObject): """ Any ECS resou...
alibaba/footmark
footmark/ecs/ecsobject.py
.py
a6b269449df3c5a7
7.6
15
class image(object): """description of class""" """ Represents an ECS Image """ from footmark.ecs.ecsobject import TaggedECSObject class Image(TaggedECSObject): def __init__(self, connection=None): super(Image, self).__init__(connection) self.tags = {} def __repr__(self): return ...
alibaba/footmark
footmark/ecs/image.py
.py
4157718badb83c33
7.6
15
""" Represents an ECS Instance """ import base64 from footmark.ecs.ecsobject import TaggedECSObject class Instance(TaggedECSObject): """ Represents an instance. """ def __init__(self, connection=None): super(Instance, self).__init__(connection) self.tags = {} def __repr__(self): ...
alibaba/footmark
footmark/ecs/instance.py
.py
db696a41caeae282
7.6
15
""" Represents an ECS key pair """ from footmark.ecs.ecsobject import TaggedECSObject class KeyPair(TaggedECSObject): """ Represents an ECS key pair. :ivar id: The unique ID of the key pair. :ivar name: The name of the key pair. :ivar create_time: The timestamp of when the key pair was created. ...
alibaba/footmark
footmark/ecs/keypair.py
.py
b615d22560fcd507
7.6
15
""" Represents an ECS Network Interface """ from footmark.ecs.ecsobject import TaggedECSObject class NetworkInterfaceSet(TaggedECSObject): """ Represents an network interface. """ def __init__(self, connection=None): super(NetworkInterfaceSet, self).__init__(connection) self.tags = {}...
alibaba/footmark
footmark/ecs/networkinterface.py
.py
fa244632ffbd0676
7.6
15
from footmark.regioninfo import RegionInfo class ECSRegionInfo(RegionInfo): """ Represents an ECS Region """ def __init__(self, connection=None): from footmark.ecs.connection import ECSConnection super(ECSRegionInfo, self).__init__(connection, connection_cls=ECSConnection)
alibaba/footmark
footmark/ecs/regioninfo.py
.py
5b907fa2f729063f
7.1
15
""" Represents an ECS Security Group """ from footmark.ecs.ecsobject import TaggedECSObject class SecurityGroup(TaggedECSObject): def __init__(self, connection=None): super(SecurityGroup, self).__init__(connection) self.tags = {} def __repr__(self): return 'SecurityGroup:%s' % self.id...
alibaba/footmark
footmark/ecs/securitygroup.py
.py
fa9275c795441a6b
7.6
15
""" Represents an ECS Elastic Block Storage Volume """ from footmark.ecs.ecsobject import TaggedECSObject class Disk(TaggedECSObject): """ Represents an EBS volume. :ivar id: The unique ID of the volume. :ivar create_time: The timestamp of when the volume was created. :ivar status: The status of ...
alibaba/footmark
footmark/ecs/volume.py
.py
55f6dbecd2e515d2
7.6
15
""" Represents an VRouter object """ from footmark.ecs.ecsobject import TaggedECSObject class VRouterList(TaggedECSObject): def __init__(self, connection=None): super(VRouterList, self).__init__(connection) self.tags = {} def __repr__(self): return 'VRouterList' def __setattr__(s...
alibaba/footmark
footmark/ecs/vrouter.py
.py
7f39e867db3cfcbd
7.1
15
""" Represents an ECS Zone """ from footmark.ecs.ecsobject import * class Zone(TaggedECSObject): """ Represents an instance type family. """ def __init__(self, connection=None): super(Zone, self).__init__(connection) self.tags = {} def __repr__(self): return 'Zone:%s' ...
alibaba/footmark
footmark/ecs/zone.py
.py
1a8b41f4d721e924
7.6
15
""" This module provides an interface to the Elastic Compute Service (ECS) service from Alicloud. """ from footmark.ess.connection import ESSConnection from footmark.regioninfo import get_regions def regions(**kw_params): """ Get all available regions for the ECS service. You may pass any of the arguments...
alibaba/footmark
footmark/ess/__init__.py
.py
4063a5e7a8e0eb3b
7.6
15
""" Represents an ECS Instance """ from footmark.ess.essobject import TaggedESSObject class ScalingConfiguration(TaggedESSObject): """ Represents an scaling configuration. """ def __init__(self, connection=None): super(ScalingConfiguration, self).__init__(connection) self.tags = {} ...
alibaba/footmark
footmark/ess/configuration.py
.py
4eb9bc8f2feb5708
7.6
15
class ESSObject(object): def __init__(self, connection=None): self.connection = connection if self.connection and hasattr(self.connection, 'region'): self.region = connection.region else: self.region = None class TaggedESSObject(ESSObject): """ Any ESS resou...
alibaba/footmark
footmark/ess/essobject.py
.py
6205447bacaf09d2
7.6
15
""" Represents an ECS Instance """ from footmark.ess.essobject import TaggedESSObject class ScalingInstance(TaggedESSObject): """ Represents an scaling configuration. """ def __init__(self, connection=None): super(ScalingInstance, self).__init__(connection) self.tags = {} def __r...
alibaba/footmark
footmark/ess/instance.py
.py
f01ab5a84838b5e0
7.6
15
# encoding: utf-8 """ Represents a connection to the OSS service. """ from footmark.connection import ACSQueryConnection import oss2 from footmark.exception import OSSResponseError class OSSConnection(ACSQueryConnection): DefaultRegionId = 'cn-hangzhou' DefaultRegionName = '杭州'.encode("UTF-8") DefaultCo...
alibaba/footmark
footmark/oss/connection.py
.py
dc88c803c1a9495c
7.6
15
""" This class encapsulates the provider-specific header differences. """ class Provider(object): def __init__(self, name, access_key=None, secret_key=None, security_token=None, ecs_role_name=None): self.access_key = access_key self.secret_key = secret_key self.security_token = security_to...
alibaba/footmark
footmark/provider.py
.py
d1baeaf864cf7531
7.6
15
import tensorflow as tf # import keras # Remove direct keras import if not strictly needed for something tf.keras doesn't cover from tensorflow.keras.losses import Huber from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau, Callback # Changed to tensorflow.keras import numpy as np import sys # Globa...
harveybc/feature-extractor
app/autoencoder_helper.py
.py
256dc9fbfdc608b6
7.45
7
# config_handler.py import json import os import sys import requests import numpy as np # Import numpy import tensorflow as tf # For tf.print import datetime # For NpEncoder from app.config import DEFAULT_VALUES from app.plugin_loader import load_plugin def convert_numpy_types(obj): """ Recursively converts N...
harveybc/feature-extractor
app/config_handler.py
.py
a34bce4cdeff36f8
7.45
7
# config_merger.py import sys from app.config import DEFAULT_VALUES def process_unknown_args(unknown_args): return {unknown_args[i].lstrip('--'): unknown_args[i + 1] for i in range(0, len(unknown_args), 2)} def convert_type(value): try: return int(value) except ValueError: try: ...
harveybc/feature-extractor
app/config_merger.py
.py
27a2df382e86b2c1
7.45
7
import pandas as pd from typing import Optional from app.reconstruction import unwindow_data import pandas as pd from typing import Optional import sys def load_csv(file_path: str, headers: bool = False, max_rows: Optional[int] = None) -> pd.DataFrame: """ Loads a CSV file with optional row limiting and proc...
harveybc/feature-extractor
app/data_handler.py
.py
729e70ef3e318460
7.45
7
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ plugin_loader.py Module for loading plugins using the importlib.metadata entry points API updated for Python 3.12. Provides functions to load a specific plugin and retrieve its parameters. """ from importlib.metadata import entry_points, EntryPoint def load_plugin(p...
harveybc/feature-extractor
app/plugin_loader.py
.py
e527a22b44ee9cb2
7.45
7
import numpy as np from keras.models import Model, load_model, save_model from keras.layers import Dense, Conv1D, UpSampling1D, BatchNormalization, Reshape, Concatenate, Flatten, Input from keras.optimizers import Adam from tensorflow.keras.initializers import GlorotUniform, HeNormal from tensorflow.keras.losses import...
harveybc/feature-extractor
app/plugins/decoder_plugin_cnn_working.py
.py
a560456b24902208
7.45
7
import numpy as np from keras.models import Model, load_model, save_model from keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Input, BatchNormalization from keras.optimizers import Adam from tensorflow.keras.initializers import GlorotUniform, HeNormal from tensorflow.keras.callbacks import EarlyStopping from...
harveybc/feature-extractor
app/plugins/encoder_plugin_cnn.py
.py
a651d9f08ec98f2c
7.45
7
import numpy as np from keras.models import Model, load_model, save_model from keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Input ,Dropout from keras.optimizers import Adam from tensorflow.keras.initializers import GlorotUniform, HeNormal from keras.regularizers import l2 from keras.callbacks import Early...
harveybc/feature-extractor
app/plugins/encoder_plugin_lstm.py
.py
ac044cff18c4917a
7.45
7
import numpy as np from keras.models import Model, load_model, save_model from keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Input ,Dropout from keras.optimizers import Adam from tensorflow.keras.initializers import GlorotUniform, HeNormal from keras.regularizers import l2 from keras.callbacks import Early...
harveybc/feature-extractor
app/plugins/encoder_plugin_transformer.py
.py
bc8968db7ab6cb80
7.45
7
import numpy as np from keras.models import Model, load_model, save_model from keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Input ,Dropout from keras.optimizers import Adam from tensorflow.keras.initializers import GlorotUniform, HeNormal from keras.regularizers import l2 from keras.callbacks import Early...
harveybc/feature-extractor
app/plugins/encoder_plugin_vae.py
.py
ef9e7b0b0eb31c25
7.45
7
import numpy as np import pandas as pd import argparse import os def generate_positional_encoding(num_positions, num_features): """ Generates a positional encoding matrix of size (num_positions, num_features). Args: num_positions (int): Number of positions in the time series (total length of t...
harveybc/feature-extractor
positional_encoding.py
.py
186ba2083cdf1847
7.45
7
import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from scipy.stats import normaltest, shapiro, skew, kurtosis import time from app.data_handler import load_csv, write_csv from app.config_handler import save_debug_info, remote_log import warnings from app.positional_encoding im...
harveybc/feature-eng
app/data_processor.py
.py
5e8e30e9107acdc0
7.45
7
import pandas as pd import time from app.data_handler import load_csv, write_csv from app.config_handler import save_debug_info, remote_log import seaborn as sns import matplotlib.pyplot as plt from scipy.stats import normaltest, shapiro, skew, kurtosis, anderson import numpy as np import warnings # Suppress the specif...
harveybc/feature-eng
app/data_processor_working classification.py
.py
7dcb02cfed330d5b
7.45
7
import numpy as np from keras.models import Model, load_model, save_model from keras.layers import Conv1D, MaxPooling1D, Flatten, Dense, Input from keras.optimizers import Adam from tensorflow.keras.initializers import GlorotUniform, HeNormal class Plugin: """ A predictor plugin using a convolutional neural ne...
harveybc/feature-eng
app/plugins/fft.py
.py
31c6dd21982bb17b
7.45
7
import numpy as np from keras.models import Model, load_model, save_model from keras.layers import Dense, Input, Dropout, Add, LayerNormalization, GlobalAveragePooling1D, Flatten from keras.optimizers import Adam from keras_multi_head import MultiHeadAttention from tensorflow.keras.initializers import GlorotUniform, He...
harveybc/feature-eng
app/plugins/ssa.py
.py
8fe30d4b2eb8396d
7.45
7
#!/usr/bin/env python3 """ Regime Detector Module ====================== Classifies each 4h bar into a market regime based on technical indicators. V2 (Causal-Evidence Based): Uses bb_position (CORE, causal score=5), atr_ratio (CORE, score=4), and ema_alignment (LEADING, only positive Transfer Entropy) as primary ...
harveybc/feature-eng
app/regime_detector.py
.py
6241ee3e3ba3c69c
7.45
7
#!/usr/bin/env python3 """ Generate labeled datasets for phase_1_b in the predictor repo. Reads the raw 4h OHLC EURUSD data, runs the oracle label generator on each phase_1 date range (d1-d6), and saves: - base_d{n}.csv (OHLC + labels) - normalization_config_a.json (label statistics, not needed for binary...
harveybc/feature-eng
generate_phase1b_labels.py
.py
806a51634b57dcd4
7.45
7
#!/usr/bin/env python3 """ Generate labeled datasets for phase_1_c (direction classification) in the predictor repo. Reads the raw 4h OHLC EURUSD data, runs the direction label generator on each phase_1 date range (d1-d6), and saves: - base_d{n}.csv (OHLC + direction labels) - normalization_config_a.json (z-sco...
harveybc/feature-eng
generate_phase1c_labels.py
.py
43daca351dbc98ce
7.45
7
#!/usr/bin/env python3 """ Transform phase_1_b base datasets into normalized datasets with derived features. Reads base_d1..d6.csv (OHLC + oracle labels), computes: - Technical indicators: ATR, RSI, MACD(3), ADX(3), Stochastic(2), CCI, Williams %R, ROC, Bollinger Band Width - Derived features: ATR_ratio (TP fe...
harveybc/feature-eng
normalize_phase1b.py
.py
17a33c4470a3fc42
7.45
7
#!/usr/bin/env python3 """ Transform phase_1_c base datasets into normalized datasets with derived features. Reads base_d1..d6.csv (OHLC + direction labels), computes: - Technical indicators: ATR, RSI, MACD(3), ADX(3), Stochastic(2), CCI, Williams %R, ROC, Bollinger Band Width - Derived features: ATR_ratio, BB...
harveybc/feature-eng
normalize_phase1c.py
.py
67d0d1ba18e02823
7.45
7
# app/config_merger.py import sys from typing import List, Dict, Any from app.config import DEFAULT_VALUES, ARGUMENT_MAPPING from app.logger import get_logger logger = get_logger(__name__) def process_unknown_args(unknown_args: List[str]) -> Dict[str, Any]: """ Processes unknown command-line arguments into a...
harveybc/rl-optimizer
app/config_merger.py
.py
e513bd4aadf1ede4
7.45
7
# app/data_handler.py import pandas as pd from app.logger import get_logger from app.reconstruction import unwindow_data # Assuming it's used elsewhere logger = get_logger(__name__) def load_csv(file_path: str, headers: bool = False) -> pd.DataFrame: """ Loads a CSV file into a pandas DataFrame with optiona...
harveybc/rl-optimizer
app/data_handler.py
.py
5a5bb195a99d72ca
7.45
7
# app/logger.py import logging import sys from logging.handlers import RotatingFileHandler def setup_logging( log_level=logging.DEBUG, log_format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", date_format="%Y-%m-%d %H:%M:%S", log_file="app.log", max_bytes=5*1024*1024, # 5 MB backup_c...
harveybc/rl-optimizer
app/logger.py
.py
eb004b30d73358c5
7.45
7
import datetime import numpy as np import sys class Plugin: """ A dummy agent plugin for making predefined actions based on dates. """ plugin_params = { 'buy_dates': [ '16/04/2010 20:00', '20/04/2010 02:00', '26/04/2010 00:00', '30/04/2010 18:00'...
harveybc/rl-optimizer
app/plugins/agent_plugin_dummy_automation.py
.py
60aa962d0c39219d
7.45
7
# app/utils.py import math import pickle import zlib import logging import numpy as np import pandas as pd from app.logger import get_logger logger = get_logger(__name__) def kolmogorov_complexity(genome_bytes: bytes, compression_level: int = 9) -> int: """ Estimates the Kolmogorov complexity of the given ge...
harveybc/rl-optimizer
app/utils.py
.py
fb83c1aa6c6ff2ea
7.45
7
# Boss/star piece randomization data for open mode. from enum import IntEnum from randomizer.logic import utils from randomizer.logic.patch import Patch class Battlefields(IntEnum): """Enumeration for ID values for battlefields.""" Bowyer = 0x01 KingCalamari = 0x03 SunkenShip = 0x04 MolevilleMin...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/data/bosses.py
.py
79a224a74b516128
7.63
17
# Data module for dialog data. from randomizer.logic import utils from randomizer.logic.patch import Patch # This table isn't complete. # And some of the single char replacements should be done via string.translate, compression_table = [ ('\n', '\x01'), (' and ', '\x15'), (' the', '\x0E'), (' you', '\...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/data/dialogs.py
.py
d89cf70eaff7fd58
7.63
17
# Data module for minigame data. from randomizer.logic import utils from randomizer.logic.patch import Patch # ******** Ball Solitaire class BallSolitaireGame: """Class for ball solitaire minigame.""" class BallSpot: """Class for individual ball spot in the game.""" def __init__(self, has_...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/data/games.py
.py
61adcbf7669f8542
7.63
17
# Data module for areas and location data and base classes for key item/chest shuffle.. from enum import Enum, auto from inspect import isclass from randomizer.data import items from randomizer.logic import utils from randomizer.logic.patch import Patch class Area(Enum): MariosPad = auto() MushroomWay = aut...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/data/locations.py
.py
25b3c6e094902e3c
7.63
17
import random from randomizer.data import dialogs from . import flags # There's a way to do perfect allocations with DYNAMIC PROGRAMMING, # but I'm not doing that. def allocate_string(string_length, free_list): for base in sorted(free_list, key=lambda x: free_list[x]): if free_list[base] >= string_length...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/logic/dialogs.py
.py
85df653e90df3072
7.63
17
# enemy randomization logic. import random from functools import reduce from randomizer.data import bosses, enemies from randomizer.data.formations import FormationMember from . import flags, utils def _randomize_enemy_attack(attack): """Randomize a single enemy attack. Args: attack(randomizer.data...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/logic/enemies.py
.py
663e8e9cdc090f4d
7.63
17
from django.core.serializers.json import DjangoJSONEncoder class Patch: """Class representing a patch for a specific seed that can be added to as we build it.""" def __init__(self): self._data = {} def __add__(self, other): """Add another patch to this patch and return a new Patch object...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/logic/patch.py
.py
7ad883651fcbc950
7.63
17
# Spell randomization logic. import random from . import flags, utils from randomizer.data import enemies from randomizer.data import spells def _randomize_spell(spell): """Perform randomization for this spell. Args: spell(randomizer.data.spells.Spell): """ spell.fp = utils.mutate_normal(s...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/logic/spells.py
.py
ecb59d1f1ba3fe63
7.63
17
# Common utilities for outputting binary data for the patches, and shuffling stat values. import inspect import random import re # Amount to boost very small values when shuffling to give a bit more range for very small values. SMALL_BOOST_AMOUNT = 2.0 def isclass_or_instance(obj_or_cls, classinfo): """Helper f...
Super-Mario-RPG-Randomizer/smrpg_web_randomizer
randomizer/logic/utils.py
.py
b590f9a25b1c3b0a
7.63
17