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 typing import Dict, List, Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from uuid import UUID
from pydantic import AnyUrl, StrictStr, constr, validator
from ..config import BaseModelWithConfig
from .common import IRI, LanguageMap
class Base... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/base/unnested_objects.py | 0.926777 | 0.462412 | unnested_objects.py | pypi |
from abc import ABC
from typing import List, Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import StrictStr
from ..config import BaseModelWithConfig
from .agents import BaseXapiAgent
from .ifi import (
BaseXapiAccountIFI,
Base... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/base/groups.py | 0.872944 | 0.206274 | groups.py | pypi |
from typing import Dict, List, Optional, Union
from uuid import UUID
from pydantic import StrictStr
from ..config import BaseModelWithConfig
from .agents import BaseXapiAgent
from .common import IRI, LanguageTag
from .groups import BaseXapiGroup
from .unnested_objects import BaseXapiActivity, BaseXapiStatementRef
... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/base/contexts.py | 0.910436 | 0.18881 | contexts.py | pypi |
from datetime import datetime
from typing import List, Optional, Union
from uuid import UUID
from pydantic import constr, root_validator
from ..config import BaseModelWithConfig
from .agents import BaseXapiAgent
from .attachments import BaseXapiAttachment
from .contexts import BaseXapiContext
from .groups import Bas... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/base/statements.py | 0.882997 | 0.26947 | statements.py | pypi |
from abc import ABC
from typing import Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import StrictStr
from ..config import BaseModelWithConfig
from .common import IRI
from .ifi import (
BaseXapiAccountIFI,
BaseXapiMboxIFI,
... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/base/agents.py | 0.855595 | 0.207375 | agents.py | pypi |
from datetime import timedelta
from decimal import Decimal
from typing import Dict, Optional, Union
from pydantic import StrictBool, StrictStr, conint, root_validator
from ..config import BaseModelWithConfig
from .common import IRI
class BaseXapiResultScore(BaseModelWithConfig):
"""Pydantic model for result `s... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/base/results.py | 0.930355 | 0.345989 | results.py | pypi |
from typing import List, Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from uuid import UUID
from pydantic import Field, NonNegativeFloat, PositiveInt
from ..base.contexts import BaseXapiContext, BaseXapiContextContextActivities
from ..base.unnest... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/video/contexts.py | 0.90551 | 0.216456 | contexts.py | pypi |
from typing import Optional
from ...selector import selector
from ..base.statements import BaseXapiStatement
from ..concepts.activity_types.video import VideoActivity
from ..concepts.verbs.scorm_profile import (
CompletedVerb,
InitializedVerb,
InteractedVerb,
TerminatedVerb,
)
from ..concepts.verbs.ti... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/video/statements.py | 0.885248 | 0.176033 | statements.py | pypi |
from datetime import timedelta
from typing import Optional
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Field, NonNegativeFloat
from ..base.results import BaseXapiResult
from ..concepts.constants.video import (
CONTEXT_EXTENSION_CC_ENABLE... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/video/results.py | 0.890396 | 0.281949 | results.py | pypi |
from typing import Dict, Optional
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from ...base.verbs import BaseXapiVerb
from ...constants import LANG_EN_US_DISPLAY
class MutedVerb(BaseXapiVerb):
"""Pydantic model for muted `verb`.
Attributes:
id ... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/concepts/verbs/virtual_classroom.py | 0.898257 | 0.478712 | virtual_classroom.py | pypi |
from typing import Dict, Optional
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from ...base.verbs import BaseXapiVerb
from ...constants import LANG_EN_US_DISPLAY
class CompletedVerb(BaseXapiVerb):
"""Pydantic model for completed `verb`.
Attributes:
... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/concepts/verbs/scorm_profile.py | 0.890067 | 0.313295 | scorm_profile.py | pypi |
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from ...base.unnested_objects import BaseXapiActivity, BaseXapiActivityDefinition
# CMI Interaction
class CMIInteractionActivityDefinition(BaseXapiActivityDefinition):
"""Pydantic model for CMI Interaction `Activit... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/concepts/activity_types/scorm_profile.py | 0.849254 | 0.239172 | scorm_profile.py | pypi |
from datetime import datetime
from typing import List, Optional, Union
from uuid import UUID
try:
from typing import Literal # pylint: disable = ungrouped-imports
except ImportError:
from typing_extensions import Literal
from pydantic import Field
from ..base.contexts import BaseXapiContext, BaseXapiContex... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/virtual_classroom/contexts.py | 0.871639 | 0.179638 | contexts.py | pypi |
from datetime import datetime
from ...selector import selector
from ..base.statements import BaseXapiStatement
from ..concepts.activity_types.acrossx_profile import MessageActivity
from ..concepts.activity_types.scorm_profile import CMIInteractionActivity
from ..concepts.activity_types.virtual_classroom import Virtua... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/xapi/virtual_classroom/statements.py | 0.707809 | 0.159708 | statements.py | pypi |
from datetime import datetime
from ipaddress import IPv4Address
from pathlib import Path
from typing import Dict, Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import AnyHttpUrl, BaseModel, constr
class BaseModelWithConfig(BaseModel)... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/base.py | 0.942155 | 0.426799 | base.py | pypi |
from typing import Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Json
from ralph.models.selector import selector
from ..browser import BaseBrowserModel
from ..server import BaseServerModel
from .fields.contexts import (
EdxCourseEnr... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/enrollment/statements.py | 0.885297 | 0.384739 | statements.py | pypi |
from typing import Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Json
from ralph.models.edx.video.fields.events import (
PauseVideoEventField,
PlayVideoEventField,
SeekVideoEventField,
SpeedChangeVideoEventField... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/video/statements.py | 0.914768 | 0.291056 | statements.py | pypi |
from typing import Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Json
from ralph.models.edx.browser import BaseBrowserModel
from ralph.models.edx.server import BaseServerModel
from ralph.models.selector import selector
from .fields.eve... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/open_response_assessment/statements.py | 0.886027 | 0.270968 | statements.py | pypi |
from datetime import datetime
from typing import Dict, List, Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from uuid import UUID
from pydantic import constr
from ralph.models.edx.base import AbstractBaseEventField, BaseModelWithConfig
class ORAG... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/open_response_assessment/fields/events.py | 0.923457 | 0.487612 | events.py | pypi |
from typing import Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Json
from ralph.models.selector import selector
from ..browser import BaseBrowserModel
from .fields.events import (
BookEventField,
TextbookPdfChapterNavigatedEven... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/textbook_interaction/statements.py | 0.932284 | 0.165931 | statements.py | pypi |
from typing import Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Field, constr
from ...base import AbstractBaseEventField
# pylint: disable=line-too-long
class TextbookInteractionBaseEventField(AbstractBaseEventField):
""... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/textbook_interaction/fields/events.py | 0.916829 | 0.542197 | events.py | pypi |
from typing import Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Json
from ralph.models.selector import selector
from ..server import BaseServerModel
from .fields.events import PeerInstructionEventField
class PeerInstructionAccessed(B... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/peer_instruction/statements.py | 0.91168 | 0.375993 | statements.py | pypi |
import re
from uuid import UUID, uuid5
from ralph.exceptions import ConfigurationException
from ralph.models.converter import BaseConversionSet, ConversionItem
from ralph.models.xapi.concepts.constants.acrossx_profile import (
CONTEXT_EXTENSION_SCHOOL_ID,
)
from ralph.models.xapi.concepts.constants.scorm_profile ... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/converters/xapi/base.py | 0.750095 | 0.215392 | base.py | pypi |
from typing import Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Json, validator
from ralph.models.selector import selector
from ..browser import BaseBrowserModel
from .fields.events import NavigationalEventField
class UIPageClose(Bas... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/navigational/statements.py | 0.907127 | 0.425486 | statements.py | pypi |
from typing import List, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import Json
from ralph.models.selector import selector
from ..browser import BaseBrowserModel
from ..server import BaseServerModel
from .fields.events import (
EdxProbl... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/problem_interaction/statements.py | 0.899439 | 0.352035 | statements.py | pypi |
from datetime import datetime
from typing import Dict, List, Optional, Union
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from pydantic import constr
from ...base import AbstractBaseEventField, BaseModelWithConfig
class QueueState(BaseModelWithConfig):
"""P... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/models/edx/problem_interaction/fields/events.py | 0.936561 | 0.627752 | events.py | pypi |
import functools
import logging
from abc import ABC, abstractmethod
from dataclasses import dataclass
from datetime import datetime
from enum import Enum, unique
from typing import BinaryIO, List, Literal, Optional, TextIO, Union
from uuid import UUID
from pydantic import BaseModel
from ralph.exceptions import Backe... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/backends/database/base.py | 0.947215 | 0.19789 | base.py | pypi |
import json
import logging
from enum import Enum
from typing import Callable, Generator, List, Optional, TextIO
from elasticsearch import ApiError
from elasticsearch import ConnectionError as ESConnectionError
from elasticsearch import Elasticsearch
from elasticsearch.client import CatClient
from elasticsearch.helper... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/backends/database/es.py | 0.879315 | 0.21391 | es.py | pypi |
import functools
import logging
from abc import ABC, abstractmethod
from enum import Enum, unique
from typing import Iterator, List, Optional, Union
from pydantic import BaseModel, ValidationError
from ralph.exceptions import BackendParameterException
logger = logging.getLogger(__name__)
@unique
class HTTPBackend... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/backends/http/base.py | 0.925978 | 0.290704 | base.py | pypi |
import datetime
import logging
from pathlib import Path
from ralph.conf import settings
from ralph.utils import now
from ..mixins import HistoryMixin
from .base import BaseStorage
logger = logging.getLogger(__name__)
class FSStorage(HistoryMixin, BaseStorage):
"""FileSystem storage backend."""
name = "fs... | /ralph-malph-3.9.0.tar.gz/ralph-malph-3.9.0/src/ralph/backends/storage/fs.py | 0.727492 | 0.181463 | fs.py | pypi |
Quickstart
==========
Let's learn Ralph by example. Throughout this tutorial, we’ll walk you through:
- adding asset information, licences and support
- scanning asset details and configuration
- access billing information
Assets
^^^^^^
Fitlering the assets
---------------------------------
Let's start with the m... | /ralph-2.3.1.tar.gz/ralph-2.3.1/doc/quickstart.rst | 0.896075 | 0.672441 | quickstart.rst | pypi |
Quickstart
==========
The Ralph Assets module enables management of assets, licences and supports.
Any objects in this modules allows manage relation beetween them.
Assets
^^^^^^
Searching and Filtering of Assets
---------------------------------
Let's start with the main screen. Here you find all your hardware as... | /ralph_assets-2.5.1.tar.gz/ralph_assets-2.5.1/doc/quickstart.rst | 0.882738 | 0.739164 | quickstart.rst | pypi |
===
API
===
To improve work and communication with Scrooge, we have prepared api. Currently, there is only push api which can be used to push usages data by services. In the future, we are planning to create pull api for generating report data only for a single venture/service. To communicate with API, use JSON as a me... | /ralph_scrooge-3.0.1.tar.gz/ralph_scrooge-3.0.1/doc/api.rst | 0.729423 | 0.723773 | api.rst | pypi |
=================
Services & Usages
=================
The billing model implemented in Scrooge is based on services and usages. We can distinguish a service with service usages and base usages. Base usages are used to define a cost of venture/service for hardware. A service is a “bag” used to group many ventures (simi... | /ralph_scrooge-3.0.1.tar.gz/ralph_scrooge-3.0.1/doc/servicesandusages.rst | 0.761538 | 0.896251 | servicesandusages.rst | pypi |
import pandas as pd
from raman_fitting.exporting.plotting import fit_spectrum_plot, raw_data_export
import logging
logger = logging.getLogger(__name__)
class ExporterError(Exception):
"""Error occured during the exporting functions"""
class Exporter:
"""
The Exporter class handles all the exporting o... | /raman_fitting-0.7.0.tar.gz/raman_fitting-0.7.0/src/raman_fitting/exporting/exporter.py | 0.507568 | 0.294684 | exporter.py | pypi |
import matplotlib
import matplotlib.lines as mlines
import matplotlib.pyplot as plt
from matplotlib import gridspec
from matplotlib.ticker import AutoMinorLocator, FormatStrFormatter, MultipleLocator
matplotlib.rcParams.update({"font.size": 14})
# %%
# IDEA PLOTTING PER PEAK MODEL
def plotting_info(windowname): # ... | /raman_fitting-0.7.0.tar.gz/raman_fitting-0.7.0/src/raman_fitting/exporting/plotting.py | 0.457379 | 0.655942 | plotting.py | pypi |
from collections import namedtuple
def SpectrumWindows():
windows = {
"full": (200, 3600),
"full_1st_2nd": (800, 3500),
"low": (150, 850),
"1st_order": (900, 2000),
"mid": (1850, 2150),
"2nd_order": (2150, 3380),
"normalization": (1500, 1675),
}
retu... | /raman_fitting-0.7.0.tar.gz/raman_fitting-0.7.0/src/raman_fitting/processing/spectrum_template.py | 0.806014 | 0.322966 | spectrum_template.py | pypi |
import copy
import logging
from collections import namedtuple
from dataclasses import dataclass, field
from operator import itemgetter
from pathlib import Path
from typing import Dict, List
import numpy as np
import pandas as pd
from raman_fitting.indexing.filedata_parser import SpectrumReader
from raman_fitting.pro... | /raman_fitting-0.7.0.tar.gz/raman_fitting-0.7.0/src/raman_fitting/processing/spectrum_constructor.py | 0.6973 | 0.218847 | spectrum_constructor.py | pypi |
import logging
from pathlib import Path
import sys
from typing import List
import pandas as pd
from raman_fitting.config.filepath_helper import get_directory_paths_for_run_mode
from raman_fitting.indexing.filename_parser import index_dtypes_collection
from raman_fitting.indexing.filename_parser_collector import make_... | /raman_fitting-0.7.0.tar.gz/raman_fitting-0.7.0/src/raman_fitting/indexing/indexer.py | 0.523908 | 0.200479 | indexer.py | pypi |
from ramboo_tools.stream_processor import StreamProcessor
class CutStreamProcessor(StreamProcessor):
"""
实现linux cut命令的-d与-f参数功能，加强了-d，分隔符支持多个字符
-d, --delimiter=DELIM use DELIM instead of TAB for field delimiter
-f, --fields=LIST select only these fields; also print any line
... | /ramboo_tools-0.0.3.tar.gz/ramboo_tools-0.0.3/ramboo_tools/script/cut.py | 0.488283 | 0.337558 | cut.py | pypi |
import logging
import json
from typing import OrderedDict
from sklearn import metrics
from ramboo_tools.stream_processor import StreamProcessor
class StrategyReportProcessor(StreamProcessor):
"""
策略指标报告
"""
fixed_column_width = 2
def __init__(self):
super().__init__()
def _add_cmd_... | /ramboo_tools-0.0.3.tar.gz/ramboo_tools-0.0.3/ramboo_tools/script/strategy_report.py | 0.652684 | 0.216757 | strategy_report.py | pypi |
import logging
import json
from typing import OrderedDict
from math import fabs
from sklearn import metrics
from ramboo_tools.stream_processor import StreamProcessor
class BinaryFindThresholdProcessor(StreamProcessor):
"""
二分法确定策略阈值
"""
fixed_column_width = 2
def __init__(self):
super()... | /ramboo_tools-0.0.3.tar.gz/ramboo_tools-0.0.3/ramboo_tools/script/bin_find_th.py | 0.703855 | 0.189502 | bin_find_th.py | pypi |
# Ramby
Ramby is a simple way to setup a webscraper.
## Installation
`pip install ramby`
## Examples
```python
from ramby import Ramby
scraper = Ramby('./exapmles/hackernews.yaml')
data = scraper.scrape("https://news.ycombinator.com/item?id=32237445")
```
## Configuration
A configuration file needs two fields, ... | /ramby-0.0.5.tar.gz/ramby-0.0.5/README.md | 0.541166 | 0.861945 | README.md | pypi |
# ramda.py
[](https://github.com/slavaGanzin/ramda.py/actions/workflows/python-package.yml)
[](https://badge.fury.io/py/ramda)
Python Clone of [Ramda.js](http://ram... | /ramda-0.7.6.tar.gz/ramda-0.7.6/README.md | 0.839372 | 0.988906 | README.md | pypi |
from feature_engine.encoding import OrdinalEncoder, RareLabelEncoder
from feature_engine.imputation import (
AddMissingIndicator,
CategoricalImputer,
MeanMedianImputer,
)
from feature_engine.selection import DropFeatures
from feature_engine.transformation import LogTransformer
from feature_engine.wrappers i... | /ramen-regression-model-0.0.1.tar.gz/ramen-regression-model-0.0.1/regression_model/pipeline.py | 0.704364 | 0.202956 | pipeline.py | pypi |
from pathlib import Path
from typing import Dict, List, Sequence
from pydantic import BaseModel
from strictyaml import YAML, load
import regression_model
# Project Directories
PACKAGE_ROOT = Path(regression_model.__file__).resolve().parent
ROOT = PACKAGE_ROOT.parent
CONFIG_FILE_PATH = PACKAGE_ROOT / "config.yml"
DAT... | /ramen-regression-model-0.0.1.tar.gz/ramen-regression-model-0.0.1/regression_model/config/core.py | 0.815049 | 0.348091 | core.py | pypi |
from typing import List, Optional, Tuple
import numpy as np
import pandas as pd
from pydantic import BaseModel, ValidationError
from regression_model.config.core import config
def drop_na_inputs(*, input_data: pd.DataFrame) -> pd.DataFrame:
"""Check model inputs for na values and filter."""
validated_data =... | /ramen-regression-model-0.0.1.tar.gz/ramen-regression-model-0.0.1/regression_model/processing/validation.py | 0.803598 | 0.42173 | validation.py | pypi |
import copy
import os
import stat
def is_executable(path):
"""
Determine whether `path` points to an executable file.
"""
return stat.S_IXUSR & os.stat(path)[stat.ST_MODE]
def deepupdate(target, src, overwrite=True):
"""Deep update target list, dict or set or other iterable with src
For each... | /rami-ansible-cmdb-1.31.2.tar.gz/rami-ansible-cmdb-1.31.2/src/ansiblecmdb/util.py | 0.66628 | 0.344857 | util.py | pypi |
import os
import imp
from mako.template import Template
from mako.lookup import TemplateLookup
class Render:
"""
Wrapper class to facilitate rendering.
This is mostly a helper class for finding template locations and
initializing Mako properly. It can also call executable "templates" (python
scri... | /rami-ansible-cmdb-1.31.2.tar.gz/rami-ansible-cmdb-1.31.2/src/ansiblecmdb/render.py | 0.519765 | 0.346818 | render.py | pypi |
# RaMix
RaMix generates synthetic Raman mixture spectra. These mixture spectra can be used to compare the predictive performance of different chemoinformatics algorithms, such as partial least squares (PLS) and 1D Convolution Neural Networks (1D-CNN).
## Repo Contents
This Github repo is divided into five distinct... | /ramix-1.0.0.tar.gz/ramix-1.0.0/README.md | 0.916063 | 0.98983 | README.md | pypi |
*CURRENT*
---
- 2018-03-07 (Laisky) feat: add `/email-proxy/` -> [view commit](https://github.com/Laisky/ramjet/commit/71d7f6c1c4be92185eb02721262136d67cdc328e)
- 2017-11-07 (Laisky) fix: remove some movoto settins -> [view commit](https://github.com/Laisky/ramjet/commit/27262df48e271bdcd1dc5f7c50b38a65ba3... | /ramjet-1.8.1.tar.gz/ramjet-1.8.1/CHANGELOG.md | 0.511229 | 0.666836 | CHANGELOG.md | pypi |
import yaml
def get_resources(node, keys=()):
"""
Return a dict of {url: resource}.
"""
resources = {}
for key, link in getattr(node, 'links', {}).items():
# Get all the resources at this level
index = keys + (key,)
if link.url not in resources:
resources[link.u... | /raml-codec-0.1.4.tar.gz/raml-codec-0.1.4/raml_codec/encode.py | 0.637595 | 0.279067 | encode.py | pypi |
from pathlib import Path
from typing import List
# data validation library
from pydantic import BaseModel
# parser de yamls
from strictyaml import YAML, load
import my_model
# Project Directories
PACKAGE_ROOT = Path(my_model.__file__).resolve().parent
ROOT = PACKAGE_ROOT.parent
CONFIG_FILE_PATH = PACKAGE_ROOT / "co... | /ramonML-0.0.1.tar.gz/ramonML-0.0.1/my_model/config/core.py | 0.649801 | 0.26353 | core.py | pypi |
__author__ = "essepuntato"
from abc import abstractmethod
from re import search, DOTALL, findall, sub, match, split
from requests import get, post, put, delete
from csv import DictReader, reader, writer
from json import dumps
from io import StringIO
from sys import exc_info, maxsize, path
from collections import Orde... | /ramose-1.0.8.tar.gz/ramose-1.0.8/ramose.py | 0.646014 | 0.291989 | ramose.py | pypi |
from contextlib import contextmanager
import bcrypt
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.engine.url import URL
from .model import Model
def setup_db(config):
"""Create a sqlalchemy engine and session to interact with the database.
Parameters
----... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/utils.py | 0.872075 | 0.320476 | utils.py | pypi |
import logging
import os
from sqlalchemy import true
from sqlalchemy.orm.exc import NoResultFound
from ramp_utils.utils import import_module_from_source
from ._query import select_event_admin_by_instance
from ._query import select_event_by_name
from ._query import select_extension_by_name
from ._query import select_... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/tools/event.py | 0.741393 | 0.170094 | event.py | pypi |
from ..model import Event
from ..model import EventAdmin
from ..model import EventTeam
from ..model import Extension
from ..model import Problem
from ..model import Submission
from ..model import SubmissionFileType
from ..model import SubmissionFileTypeExtension
from ..model import SubmissionSimilarity
from ..model imp... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/tools/_query.py | 0.84412 | 0.261307 | _query.py | pypi |
from itertools import product
from packaging import version
import numpy as np
import pandas as pd
from ..model.event import Event
from ..model.event import EventTeam
from ..model.submission import Submission
from ..model.team import Team
from .team import get_event_team_by_name
from .submission import get_bagged_s... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/tools/leaderboard.py | 0.750644 | 0.314603 | leaderboard.py | pypi |
import logging
import os
from ..model import EventTeam
from .submission import add_submission
from ._query import select_event_by_name
from ._query import select_event_team_by_name
from ._query import select_team_by_name
logger = logging.getLogger("RAMP-DATABASE")
def ask_sign_up_team(session, event_name, team_na... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/tools/team.py | 0.778565 | 0.17515 | team.py | pypi |
from sqlalchemy import Enum
from sqlalchemy import Column
from sqlalchemy import Integer
from sqlalchemy import ForeignKey
from sqlalchemy.orm import backref
from sqlalchemy.orm import relationship
from .base import Model
from .datatype import NumpyType
__all__ = [
"CVFold",
]
cv_fold_types = Enum("live", "test... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/model/fold.py | 0.830594 | 0.404625 | fold.py | pypi |
from math import ceil
from sqlalchemy import orm
from sqlalchemy.ext.declarative import declarative_base
__all__ = [
"Model",
"set_query_property",
]
class Pagination:
"""Class returned by `Query.paginate`. You can also construct
it from any other SQLAlchemy query object if you are working
with ... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/model/base.py | 0.892913 | 0.349394 | base.py | pypi |
import os
from sqlalchemy import Float
from sqlalchemy import Column
from sqlalchemy import String
from sqlalchemy import Integer
from sqlalchemy import DateTime
from sqlalchemy import ForeignKey
from sqlalchemy.orm import backref
from sqlalchemy.orm import relationship
from ramp_utils.utils import import_module_from... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/model/problem.py | 0.830353 | 0.441432 | problem.py | pypi |
import datetime
from sqlalchemy import Enum
from sqlalchemy import Column
from sqlalchemy import String
from sqlalchemy import Integer
from sqlalchemy import Boolean
from sqlalchemy import DateTime
from sqlalchemy import ForeignKey
from sqlalchemy.orm import backref
from sqlalchemy.orm import relationship
from sqlalc... | /ramp_database-0.10.1-py3-none-any.whl/ramp_database/model/team.py | 0.822546 | 0.202049 | team.py | pypi |
from typing import Dict
def _conda_info_envs() -> Dict:
import json
import subprocess
proc = subprocess.Popen(
["conda", "info", "--envs", "--json"],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
stdout, _ = proc.communicate()
conda_info = json.loads(stdout)
re... | /ramp-engine-0.10.1.tar.gz/ramp-engine-0.10.1/ramp_engine/conda.py | 0.497315 | 0.184712 | conda.py | pypi |
from collections import deque
import logging
import os
import signal
import subprocess
import time
from ramp_database.model import Event
from ramp_database.utils import session_scope
from ramp_utils import read_config
logger = logging.getLogger("RAMP-DAEMON")
class Daemon:
"""RAMP daemon starting dispatchers f... | /ramp-engine-0.10.1.tar.gz/ramp-engine-0.10.1/ramp_engine/daemon.py | 0.745213 | 0.156137 | daemon.py | pypi |
import logging
import os
import shutil
from datetime import datetime
from .base import BaseWorker, _get_traceback
from .conda import _conda_info_envs, _get_conda_env_path
from .conda import _conda_ramp_test_submission
logger = logging.getLogger("RAMP-WORKER")
class CondaEnvWorker(BaseWorker):
"""Local worker wh... | /ramp-engine-0.10.1.tar.gz/ramp-engine-0.10.1/ramp_engine/local.py | 0.756447 | 0.26205 | local.py | pypi |
import logging
import os
import shutil
from pathlib import Path
from datetime import datetime
from typing import List, Union
from urllib.parse import urlparse
import tarfile
from io import BytesIO
from .base import BaseWorker, _get_traceback
from .conda import _conda_info_envs, _get_conda_env_path
from .conda import _... | /ramp-engine-0.10.1.tar.gz/ramp-engine-0.10.1/ramp_engine/remote.py | 0.767603 | 0.317228 | remote.py | pypi |
# [Replicable AI for Microplanning (ramp)](https://rampml.global/)
Our team aspires to turn over control of the data value chain to humanitarians. The Replicable AI for Microplanning (ramp) project is producing an open-source deep learning model to accurately digitize buildings in low-and-middle-income countries usin... | /ramp-fair-0.1.2.tar.gz/ramp-fair-0.1.2/README.md | 0.597256 | 0.979176 | README.md | pypi |
from tensorflow.keras.callbacks import *
from tensorflow.keras import backend as K
import numpy as np
import matplotlib.pyplot as plt
# adding logging
import logging
log = logging.getLogger(__name__)
log.addHandler(logging.NullHandler())
class CyclicLR(Callback):
"""This callback implements a cyclical learning... | /ramp-fair-0.1.2.tar.gz/ramp-fair-0.1.2/ramp/data_mgmt/clr_callback.py | 0.885804 | 0.816662 | clr_callback.py | pypi |
import geopandas as gpd
from shapely.geometry import box
def add_overlap_validpoly_columns(gdf):
'''
Add both overlap and valid polygon columns to a geodataframe.
This function only detects overlaps between valid polygons.
'''
# create temporary geodataframe so I can add an index 't_index' colum... | /ramp-fair-0.1.2.tar.gz/ramp-fair-0.1.2/ramp/utils/label_utils.py | 0.570212 | 0.769059 | label_utils.py | pypi |
import logging
from concurrent.futures import ThreadPoolExecutor
from flask import (
copy_current_request_context,
current_app,
)
from flask_mail import Message
from ramp_frontend import mail
logger = logging.getLogger("RAMP-FRONTEND")
def ensure_threadpoolexecutor_is_running(pool):
"""Ensure that the ... | /ramp-frontend-0.10.1.tar.gz/ramp-frontend-0.10.1/ramp_frontend/utils.py | 0.773131 | 0.176246 | utils.py | pypi |
from typing import List, Tuple
from flask_wtf import FlaskForm
from wtforms import BooleanField
from wtforms import DateField
from wtforms import DateTimeField
from wtforms import FileField
from wtforms import IntegerField
from wtforms import PasswordField
from wtforms import SelectMultipleField
from wtforms import S... | /ramp-frontend-0.10.1.tar.gz/ramp-frontend-0.10.1/ramp_frontend/forms.py | 0.867261 | 0.327292 | forms.py | pypi |
import numpy as np
import pandas as pd
from ramp_database.tools.submission import get_submission_by_id
from ramp_database.tools.submission import get_submissions
def make_step_df(pareto_df, is_lower_the_better):
"""Make a step function from pareto_df['x', 'y'].
Parameters
----------
pareto_df : pd.D... | /ramp-frontend-0.10.1.tar.gz/ramp-frontend-0.10.1/ramp_frontend/views/visualization.py | 0.758197 | 0.488344 | visualization.py | pypi |
import os
import subprocess
import zipfile
from ramp_database.testing import _delete_line_from_file
from ramp_database.testing import setup_files_extension_type
from ramp_database.testing import setup_ramp_kit_ramp_data
from ramp_database.tools.event import add_event
from ramp_database.tools.event import add_problem
f... | /ramp-utils-0.10.1.tar.gz/ramp-utils-0.10.1/ramp_utils/deploy.py | 0.482429 | 0.151529 | deploy.py | pypi |
from collections import namedtuple
import hashlib
import json
import os
from urllib import request
OSFRemoteMetaData = namedtuple("OSFRemoteMetaData", ["filename", "id", "revision"])
def _sha256(path):
"""Calculate the sha256 hash of the file at path."""
sha256hash = hashlib.sha256()
chunk_size = 8192
... | /ramp-utils-0.10.1.tar.gz/ramp-utils-0.10.1/ramp_utils/datasets.py | 0.811564 | 0.174586 | datasets.py | pypi |
import numpy as np
import warnings
from .base import BasePrediction
def _multiclass_init(self, y_pred=None, y_true=None, n_samples=None,
fold_is=None):
"""Initialize a multiclass/multilabel prediction type.
The input is either y_pred, or y_true, or n_samples.
Parameters
-------... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/prediction_types/multiclass.py | 0.873647 | 0.532121 | multiclass.py | pypi |
import numpy as np
import warnings
class BasePrediction(object):
def __str__(self):
return 'y_pred = {}'.format(self.y_pred)
@property
def valid_indexes(self):
"""Return valid indices (e.g., a cross-validation slice).
When combining Predictions on different cross validation slic... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/prediction_types/base.py | 0.897561 | 0.543772 | base.py | pypi |
import numpy as np
from .base import BasePrediction
def _combined_init(self, y_pred=None, y_true=None, n_samples=None,
fold_is=None):
self.predictions_list = []
if y_pred is not None:
if fold_is is not None:
y_pred = y_pred[fold_is]
start = 0
for Predict... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/prediction_types/combined.py | 0.608012 | 0.301754 | combined.py | pypi |
from .hex import HEX
class colored(object):
def __init__(self, color):
self.ESC = "\x1b["
self.END = "m"
self.color = color
if str(color).startswith("#"):
self.HEX = HEX(color.lower())
else:
self.HEX = ""
self.paint = {
"black... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/externals/colored/colored.py | 0.68784 | 0.436202 | colored.py | pypi |
import numpy as np
from .base import BaseScoreType
class ClusteringEfficiency(BaseScoreType):
is_lower_the_better = False
minimum = 0.0
maximum = 1.0
def __init__(self, name='clustering_efficiency', precision=2):
self.name = name
self.precision = precision
def __call__(self, y_t... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/score_types/clustering_efficiency.py | 0.696371 | 0.471953 | clustering_efficiency.py | pypi |
from .base import BaseScoreType
import numpy as np
from sklearn.metrics import brier_score_loss
class BrierScore(BaseScoreType):
is_lower_the_better = True
minimum = 0.0
maximum = 1.0
def __init__(self, name='brier_score', precision=3):
self.name = name
self.precision = precision
... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/score_types/brier_score.py | 0.946169 | 0.451206 | brier_score.py | pypi |
import numpy as np
from scipy.optimize import linear_sum_assignment
from .iou import cc_iou
def _select_minipatch_tuples(y_list, minipatch):
"""
Mask over a list selecting the tuples that lie in the minipatch
Parameters
----------
y_list : list of (row, col, radius)
List of true or predi... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/score_types/detection/util.py | 0.880264 | 0.532486 | util.py | pypi |
import math
def cc_iou(circle1, circle2):
"""
Intersection over Union (IoU) between two circles.
Parameters
----------
circle1 : tuple of floats
first circle parameters (x_pos, y_pos, radius)
circle2 : tuple of floats
second circle parameters (x_pos, y_pos, radius)
Return... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/score_types/detection/iou.py | 0.89963 | 0.805403 | iou.py | pypi |
import numpy as np
from sklearn.utils import indices_to_mask
from .base import DetectionBaseScoreType
from .util import _select_minipatch_tuples, _match_tuples
class OSPA(DetectionBaseScoreType):
"""
Optimal Subpattern Assignment (OSPA) metric for IoU score.
This metric provides a coherent way to comput... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/score_types/detection/ospa.py | 0.946461 | 0.625896 | ospa.py | pypi |
import numpy as np
from .base import DetectionBaseIOUScoreType
from .util import (
_match_tuples, _count_matches, _locate_matches, _filter_minipatch_tuples)
class DetectionPrecision(DetectionBaseIOUScoreType):
is_lower_the_better = False
minimum = 0.0
maximum = 1.0
_name = 'precision'
def de... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/score_types/detection/precision_recall.py | 0.851521 | 0.425187 | precision_recall.py | pypi |
import click
from ..hyperopt import run_hyperopt
CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help'])
@click.command(context_settings=CONTEXT_SETTINGS)
@click.option('--submission', default='starting_kit', show_default=True,
help='The kit to hyperopt. It should be located in the '
... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/hyperopt/cli/hyperopt.py | 0.574395 | 0.178687 | hyperopt.py | pypi |
import os
import time
import pickle
from inspect import signature
from collections.abc import Iterable
from collections import OrderedDict
import pandas as pd
import cloudpickle
from .io import save_y_pred, set_state, print_submission_exception
from .combine import get_score_cv_bags
from .pretty_print import print_ti... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/utils/submission.py | 0.716119 | 0.246477 | submission.py | pypi |
import os
import sys
import traceback as tb
import numpy as np
from .pretty_print import print_warning
def save_y_pred(problem, y_pred, data_path='.', output_path='.',
suffix='test'):
"""Save a prediction vector in file.
If problem.save_y_pred is implemented, y_pred is passed to it. Otherwis... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/utils/io.py | 0.515132 | 0.268615 | io.py | pypi |
import os
import ast
import warnings
import click
from ..testing import blend_submissions
CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help'])
class PythonLiteralOption(click.Option):
def type_cast_value(self, ctx, value):
try:
return ast.literal_eval(value)
except: # noqa:... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/utils/cli/blend.py | 0.537284 | 0.152758 | blend.py | pypi |
import os
import ast
import click
import pandas as pd
from ...externals.tabulate import tabulate
CONTEXT_SETTINGS = dict(help_option_names=['-h', '--help'])
class PythonLiteralOption(click.Option):
def type_cast_value(self, ctx, value):
try:
return ast.literal_eval(value)
except: ... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/utils/cli/show.py | 0.599251 | 0.183868 | show.py | pypi |
import os
import numpy as np
from ..utils.importing import import_module_from_source
class SimplifiedImageClassifier(object):
"""
SimplifiedImageClassifier workflow.
This workflow is used to train image classification tasks, typically when
the dataset cannot be stored in memory. It is a simplified ... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/workflows/simplified_image_classifier.py | 0.851058 | 0.549641 | simplified_image_classifier.py | pypi |
import os
import numpy as np
from ..utils.importing import import_module_from_source
class ObjectDetector(object):
"""
Object detection workflow.
This workflow is used to train image object detection tasks, typically
when the dataset cannot be stored in memory.
Submissions need to contain two f... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/workflows/object_detector.py | 0.898143 | 0.7917 | object_detector.py | pypi |
import os
import numpy as np
from ..utils.importing import import_module_from_source
class ImageClassifier(object):
"""
ImageClassifier workflow.
This workflow is used to train image classification tasks, typically when
the dataset cannot be stored in memory.
Submissions need to contain two fil... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/workflows/image_classifier.py | 0.793426 | 0.664812 | image_classifier.py | pypi |
import numpy as np
from .feature_extractor_classifier import FeatureExtractorClassifier
from .feature_extractor_regressor import FeatureExtractorRegressor
class DrugSpectra(object):
def __init__(self, workflow_element_names=[
'feature_extractor_clf', 'classifier',
'feature_extractor_reg', ... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/workflows/drug_spectra.py | 0.632843 | 0.289855 | drug_spectra.py | pypi |
import os
from sklearn.base import is_classifier
from sklearn.utils import _safe_indexing
from ..utils.importing import import_module_from_source
class SKLearnPipeline:
"""Wrapper to convert a scikit-learn estimator into a RAMP workflow.
.. notes::
This class should not be used directly in proble... | /ramp_workflow-0.6.0-py3-none-any.whl/rampwf/workflows/sklearn_pipeline.py | 0.846229 | 0.526343 | sklearn_pipeline.py | pypi |
## Excel input file parameter description
The table below displays the input parameters of RAMP. If NA is displayed in the table below, it means that the corresponding column is not applicable to the parameter.
When filling .xlsx input file, you can simply leave the cell empty if the parameter is not mandatory and the... | /rampdemand-0.4.0.tar.gz/rampdemand-0.4.0/docs/input_parameters.md | 0.675229 | 0.752899 | input_parameters.md | pypi |
# Cooking Appliances
In this example, appliances with multiple preferences index and attributes are modeled.
To have a better understanding of RAMP features for modelling these category of appliances, two households are considered:
1. First household with a fixed lunch habit of eating soup everyday.
2. Second househ... | /rampdemand-0.4.0.tar.gz/rampdemand-0.4.0/docs/notebooks/cooking_app.ipynb | 0.471953 | 0.943608 | cooking_app.ipynb | pypi |
# Appliances with occasional use
There are some appliances that are occasionally included in the mix pf appliances that the user switches-on during the day. For example, iron, stereo, printers and ...
Within ramp, the user may specify the probability of using an appliance on the daily mix with a parameter called, **o... | /rampdemand-0.4.0.tar.gz/rampdemand-0.4.0/docs/notebooks/occasional_use.ipynb | 0.522446 | 0.944995 | occasional_use.ipynb | pypi |
# Appliances with multiple cycles
An example of an appliance with multiple cycle is fridge.
Fridges usually have different duty cycles can be estimated based on seasonal temperature trends.
In this example a fridge with 3 different duty cycles is modelled. The time windows are defined for 3 different cycles for 3 di... | /rampdemand-0.4.0.tar.gz/rampdemand-0.4.0/docs/notebooks/multi_cycle.ipynb | 0.428473 | 0.988569 | multi_cycle.ipynb | pypi |
# Thermal loads
This example input file represents a single household user whose only load
is the "shower". The example showcases how to model thermal loads by means of
the thermal_P_var attribute.
```
# importing functions
from ramp import User,calc_peak_time_range,yearly_pattern
from ramp import load_data
import p... | /rampdemand-0.4.0.tar.gz/rampdemand-0.4.0/docs/notebooks/thermal_app.ipynb | 0.428951 | 0.927429 | thermal_app.ipynb | pypi |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.