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 *
class CClass:
@overload
def __getitem__(self, _0: Tuple[numpy.ndarray, numpy.ndarray, numpy.ndarray], /):
"""
usage.scipy: 9
usage.skimage: 1
usage.sklearn: 1
"""
...
@overload
def __getitem__(self, _0: Tuple[numpy.ndarray, numpy.nd... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/numpy.lib.index_tricks.py | 0.872225 | 0.489198 | numpy.lib.index_tricks.py | pypi |
from typing import *
class BQuarterBegin:
def __mul__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 1
"""
...
def __rmul__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 1
"""
...
class BQuarterEnd:
def __mul__(self, _0: numpy.ndarray, /)... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.tseries.offsets.py | 0.807385 | 0.527925 | pandas.tseries.offsets.py | pypi |
from typing import *
# usage.dask: 2
BooleanDtype: object
# usage.dask: 18
# usage.xarray: 1
Categorical: object
# usage.xarray: 2
CategoricalDtype: object
# usage.dask: 23
# usage.xarray: 6
CategoricalIndex: object
# usage.dask: 309
# usage.sklearn: 54
# usage.xarray: 10
DataFrame: object
# usage.dask: 1
# usage... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.py | 0.75401 | 0.725138 | pandas.py | pypi |
from typing import *
@overload
def factorize(values: pandas.core.indexes.numeric.Int64Index, sort: bool):
"""
usage.xarray: 1
"""
...
@overload
def factorize(values: pandas.core.indexes.base.Index, sort: bool):
"""
usage.xarray: 1
"""
...
@overload
def factorize(values: pandas.core... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.core.algorithms.py | 0.774413 | 0.807537 | pandas.core.algorithms.py | pypi |
from typing import *
class Generator:
@overload
def beta(self, _0: numpy.ndarray, _1: numpy.ndarray, _2: Tuple[numpy.int64], /):
"""
usage.scipy: 1
"""
...
@overload
def beta(self, _0: numpy.float64, _1: numpy.float64, _2: Tuple[numpy.int64], /):
"""
us... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/numpy.random._generator.py | 0.86094 | 0.483587 | numpy.random._generator.py | pypi |
from typing import *
class Series:
# usage.dask: 4
__module__: ClassVar[object]
# usage.dask: 7
# usage.sklearn: 1
__name__: ClassVar[object]
@overload
@classmethod
def __ne__(cls, _0: Type[pandas.core.series.Series], /):
"""
usage.dask: 4
"""
...
... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.core.series.py | 0.872361 | 0.604778 | pandas.core.series.py | pypi |
from typing import *
class Float64Index:
# usage.dask: 1
__module__: ClassVar[object]
# usage.dask: 2
__name__: ClassVar[object]
# usage.dask: 1
array: object
# usage.dask: 7
# usage.xarray: 4
dtype: object
# usage.dask: 1
# usage.xarray: 2
is_monotonic: object
... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.core.indexes.numeric.py | 0.904819 | 0.574216 | pandas.core.indexes.numeric.py | pypi |
from typing import *
# usage.scipy: 1
# usage.skimage: 1
# usage.sklearn: 3
_rand: object
class RandomState:
# usage.dask: 1
__module__: ClassVar[object]
@overload
def beta(self, _0: float, _1: float, /, *, size: int):
"""
usage.pandas: 4
"""
...
@overload
d... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/numpy.random.mtrand.py | 0.850033 | 0.54698 | numpy.random.mtrand.py | pypi |
from typing import *
class Int16Dtype:
# usage.sklearn: 1
kind: object
# usage.sklearn: 1
name: object
def __eq__(self, _0: Union[Type[numpy.object_], numpy.dtype], /):
"""
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usa... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.core.arrays.integer.py | 0.864411 | 0.558748 | pandas.core.arrays.integer.py | pypi |
from typing import *
class Index:
# usage.dask: 2
__name__: ClassVar[object]
# usage.xarray: 2
get_loc: ClassVar[object]
# usage.dask: 1
array: object
# usage.dask: 13
# usage.sklearn: 2
# usage.xarray: 6
dtype: object
# usage.dask: 1
# usage.xarray: 2
is_monot... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.core.indexes.base.py | 0.843895 | 0.629177 | pandas.core.indexes.base.py | pypi |
from typing import *
@overload
def asbytes(s: Literal["testdouble\x00"]):
"""
usage.scipy: 1
"""
...
@overload
def asbytes(s: Literal["testdouble"]):
"""
usage.scipy: 1
"""
...
@overload
def asbytes(s: Literal["teststring\x00"]):
"""
usage.scipy: 1
"""
...
@overlo... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/numpy.compat.py3k.py | 0.793426 | 0.590956 | numpy.compat.py3k.py | pypi |
from typing import *
# usage.pandas: 2
# usage.scipy: 2
ComplexWarning: object
# usage.dask: 2
False_: object
# usage.matplotlib: 2
# usage.pandas: 1
# usage.scipy: 1
# usage.sklearn: 4
Inf: object
# usage.pandas: 1
# usage.scipy: 4
# usage.skimage: 1
NAN: object
# usage.scipy: 1
# usage.sklearn: 2
NINF: object
#... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/numpy.py | 0.806243 | 0.744192 | numpy.py | pypi |
from typing import *
@overload
def cut(x: xarray.core.dataarray.DataArray, bins: List[Union[int, float]]):
"""
usage.xarray: 1
"""
...
@overload
def cut(
x: range,
bins: List[Union[int, float]],
right: bool,
labels: None,
precision: int,
include_lowest: bool,
):
"""
u... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.core.reshape.tile.py | 0.888952 | 0.748375 | pandas.core.reshape.tile.py | pypi |
from typing import *
class StringMethods:
@overload
def __getitem__(self, _0: slice[None, int, None], /):
"""
usage.dask: 2
"""
...
@overload
def __getitem__(self, _0: int, /):
"""
usage.dask: 2
"""
...
def __getitem__(self, _0: Uni... | /record_api-1.3.2.tar.gz/record_api-1.3.2/data/typing/pandas.core.strings.py | 0.845974 | 0.411347 | pandas.core.strings.py | pypi |
# Recordclass library
**Recordclass** is [MIT Licensed](http://opensource.org/licenses/MIT) python library.
It was started as a "proof of concept" for the problem of fast "mutable"
alternative of `namedtuple` (see [question](https://stackoverflow.com/questions/29290359/existence-of-mutable-named-tuple-in-python) on [s... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/README.md | 0.897337 | 0.892843 | README.md | pypi |
```
import random
import sys
from collections import deque
from recordclass import dataobject
import time
import matplotlib.pyplot as plt
import math
import gc
import numpy as np
def random_strings(num_strings):
random.seed(2)
symbols = "abcdefghijklmnopqrstuvwxyz"
for i in range(num_strings):
len... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/tree_trigram.ipynb | 0.400163 | 0.28733 | tree_trigram.ipynb | pypi |
```
from recordclass import make_dataclass
import csv
class CsvTable():
def __init__(self, fields):
d = {'int':int, 'float':float}
names = []
types = []
for f in fields.split():
name, tp = f.split(':')
names.append(name)
types.append(d[tp])
... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/csv_example2.ipynb | 0.417153 | 0.198316 | csv_example2.ipynb | pypi |
Как автор `recordclass` хотелось бы пролить немного света.
Recorclass возник как ответ на [вопрос](https://stackoverflow.com/questions/29290359/existence-of-mutable-named-tuple-in-python/29419745#29419745) на stackoverflow.
`Recordclass` задумывался и реализовывался как тип, который по api, памяти и скорости был бы ... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/recorclass_description.ipynb | 0.561455 | 0.929248 | recorclass_description.ipynb | pypi |
```
from recordclass import dataobject
class HGeo(dataobject):
latitude:double
longitude:double
def name(self):
return "{0}, {1}".format(self.latitude, self.longitude)
class HAddr(dataobject):
street_address:str
locality:str
region:str
country_name:str
postal_code:str
... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/microlanguage.ipynb | 0.462959 | 0.41745 | microlanguage.ipynb | pypi |
```
from recordclass import make_dataclass
TableRow = make_dataclass(
'TableRow',
"id name password hostip description source admin_name",
defaults=5*(None,),
iterable=True,
fast_new=True)
import csv
class OutputTable():
def __init__(self):
self... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/csv_example.ipynb | 0.414425 | 0.193452 | csv_example.ipynb | pypi |
```
from dataclasses import dataclass
from recordclass import dataobject
from timeit import timeit
def _str(n): return f'({n.x})'
class standard_class:
def __init__(self, x=0.0):
self.x = x
def __str__(self): return _str(self)
class slot_class:
__slots__ = 'x',
def __init__(self, x=0):
... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/comparisons2.ipynb | 0.641984 | 0.235812 | comparisons2.ipynb | pypi |
```
from recordclass import dataobject, make_dataclass
from copy import deepcopy
mcufields = ('xmlns', 'xmlname', 'ui_value', 'value_lang', 'datatype')
title = ('http://phaidra.univie.ac.at/XML/metadata/lom/V1.0', 'title', '', '', 'LangString')
mcufields_defaults = 5 * ['']
class MCU(dataobject):
xmlns: str = ''
... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/xml_like.ipynb | 0.444927 | 0.206914 | xml_like.ipynb | pypi |
```
from recordclass import dataobject
class DNode(dataobject, fast_new=True):
__fields__ = 'attr', 'tval', 'left', 'right'
def is_lead(self):
return False
class DLeaf(dataobject, fast_new=True):
__fields__ = 'val',
def is_leaf(self):
return True
class DTree:
de... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/decision_tree.ipynb | 0.577257 | 0.408306 | decision_tree.ipynb | pypi |
# In[1]:
import random
import sys
from collections import deque
from recordclass import dataobject
import time
import matplotlib.pyplot as plt
import math
import gc
import numpy as np
# In[2]:
def random_strings(num_strings):
random.seed(2)
symbols = "abcdefghijklmnopqrstuvwxyz"
for i in range(num_s... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/tree_trigram.py | 0.405213 | 0.308516 | tree_trigram.py | pypi |
```
from collections import namedtuple
from recordclass import recordclass
import numpy as np
Point1 = namedtuple("Point1", "x y")
Point2 = recordclass("Point2", "x y")
named = Point1(2, 3)
record = Point2(2, 3)
arr = np.arange(30).reshape((5, 6))
print(arr[named])
print(arr[record])
arr[[2,3]]
print(arr)
print... | /recordclass-0.17.5.tar.gz/recordclass-0.17.5/examples/numpy_index.ipynb | 0.499512 | 0.585723 | numpy_index.ipynb | pypi |
from __future__ import annotations
from typing import ClassVar, Dict, Set, Union
from records.fillers import AssertCallValidation, CallCoercion, CallValidation
from records.fillers.filler import Filler
from records.fillers.get_filler import get_filler
from records.tags import Tag
from records.utils.decorators import ... | /recordclasses-0.0.1-py3-none-any.whl/records/field.py | 0.909285 | 0.304946 | field.py | pypi |
from __future__ import annotations
from functools import update_wrapper
from itertools import chain
from typing import Any, Callable, Generic, Iterable, Mapping, Optional, Tuple, Type, TypeVar, Union
class Select:
"""
A Select is a method of modifying a ``Mapping[str, Any]``. A Select should be considered im... | /recordclasses-0.0.1-py3-none-any.whl/records/select.py | 0.91043 | 0.417746 | select.py | pypi |
from records.fillers.builtin_fillers.recurse import GetFiller
from records.fillers.builtin_fillers.repo import builtin_filler_checkers, builtin_filler_map
from records.fillers.filler import Filler, TypeCheckStyle, TypePassKind, FillingSuccess
from records.utils.typing_compatible import split_annotation
class DumbFill... | /recordclasses-0.0.1-py3-none-any.whl/records/fillers/get_filler.py | 0.75985 | 0.290449 | get_filler.py | pypi |
from __future__ import annotations
from abc import abstractmethod
from enum import Enum, IntEnum, auto
from typing import Any, Callable, Generic, List, Optional, TypeVar, NamedTuple
from records.fillers.coercers import CoercionToken
from records.fillers.util import _as_instance
from records.fillers.validators import ... | /recordclasses-0.0.1-py3-none-any.whl/records/fillers/filler.py | 0.887729 | 0.456349 | filler.py | pypi |
from typing import Any, Pattern, Union
import records.extras as extras
from records.fillers.validators import AssertValidation, GlobalValidationToken
class _Least: # pragma: no cover
"""
A simple object that is always less than any other object
"""
def __lt__(self, other):
return True
... | /recordclasses-0.0.1-py3-none-any.whl/records/fillers/builtin_validators.py | 0.958567 | 0.3581 | builtin_validators.py | pypi |
from abc import ABC, abstractmethod
from ast import literal_eval
from functools import partial, wraps
from inspect import isabstract
from math import isclose
from numbers import Complex, Rational, Real, Integral
from typing import Any, Callable, Dict, Generic, Type, TypeVar, Union, Tuple, Optional
from records.fillers... | /recordclasses-0.0.1-py3-none-any.whl/records/fillers/builtin_fillers/std_fillers.py | 0.911484 | 0.237753 | std_fillers.py | pypi |
from __future__ import annotations
import collections.abc as abstract_collections
import contextlib
from collections import defaultdict, deque
from collections.abc import Callable as CallableBase
from itertools import chain, islice
from typing import Any, Sequence, TypeVar, Union
from records.fillers.builtin_fillers.... | /recordclasses-0.0.1-py3-none-any.whl/records/fillers/builtin_fillers/typing_fillers.py | 0.811825 | 0.217608 | typing_fillers.py | pypi |
from __future__ import print_function
import argparse
import math
import os
import struct
import sys
from csiphash import siphash24
from cskipdict import SkipDict
class Element(object):
__slots__ = ('value', 'count')
def __init__(self, value):
self.value = value
self.count = 1
class Reco... | /recordinality-0.0.4.tar.gz/recordinality-0.0.4/recordinality.py | 0.564339 | 0.176672 | recordinality.py | pypi |
Python Record Linkage Toolkit
=============================
|pypi| |travis| |codecov| |docs|
.. |travis| image:: https://travis-ci.org/J535D165/recordlinkage.svg?branch=master
:target: https://travis-ci.org/J535D165/recordlinkage
:alt: TravisCI Status
.. |pypi| image:: https://badge.fury.io/py/recordlinkage.svg
... | /recordlinkage-0.14.tar.gz/recordlinkage-0.14/README.rst | 0.916913 | 0.816699 | README.rst | pypi |
import itertools
from typing import List, Iterable, Iterator
from RecordMapper.appliers import NestedSchemaSelectorApplier, RenameApplier, TransformApplier, CleanApplier
from RecordMapper.avro.AvroReader import AvroReader
from RecordMapper.avro.AvroWriter import AvroWriter
from RecordMapper.builders import FlatSchemaB... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/RecordMapper.py | 0.887137 | 0.496338 | RecordMapper.py | pypi |
from typing import BinaryIO, List, Iterable
import fastavro
from RecordMapper.common import Writer
class AvroMatchingException(Exception):
"""
Exception launched when a row is written to an avro file and it doesn't match the schema.
"""
pass
class AvroWriter(Writer):
"""A Record writer for... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/avro/AvroWriter.py | 0.879049 | 0.411229 | AvroWriter.py | pypi |
import csv
import json
from typing import BinaryIO, List, Iterable
from RecordMapper.common import Writer
class CSVWriter(Writer):
"""A Record reader for csv format."""
def __init__(self, file_path: str, fieldnames: List[str]):
"""The constructor of the CSVWriter.
:param file_path: Path to ... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/csv/CSVWriter.py | 0.90364 | 0.49292 | CSVWriter.py | pypi |
import math
from datetime import datetime
from typing import Union, List, Iterable
import dateparser
def copyFrom(path_to_copy_from: str):
"""This built-in function returns the value of 'path_to_copy_from' key.
"""
def transform_function(current_value: object, record: dict, complete_transform_schema: di... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/builders/BuiltinFunctions.py | 0.820865 | 0.620737 | BuiltinFunctions.py | pypi |
import re
from typing import Callable, List, Union
from inspect import getmembers, isfunction
import importlib
from RecordMapper.builders import BuiltinFunctions
class InvalidFunctionError(Exception):
"""
An exception that represents an invalid string reference for a function.
"""
pass
class Fu... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/builders/FunctionBuilder.py | 0.839175 | 0.386677 | FunctionBuilder.py | pypi |
from typing import Union, List, Callable
from collections import namedtuple
from RecordMapper.builders import FunctionBuilder
FieldData = namedtuple("FieldData", ["types", "aliases", "transforms", "selector"])
class FlatSchemaBuilder(object):
"""A builder class that creates a FlatSchema."""
@staticmethod
... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/builders/FlatSchemaBuilder.py | 0.951673 | 0.462655 | FlatSchemaBuilder.py | pypi |
class FlatRecordBuilder(object):
"""A builder of FlatRecords.
A 'FlatRecord' is a record whose keys are tuples.
The keys of nested keys will be flattened.
For example, for a normal record which look like this:
{
"field_1": 5,
"field_2": {
"field_x": 7,
"fi... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/builders/FlatRecordBuilder.py | 0.90998 | 0.511412 | FlatRecordBuilder.py | pypi |
from typing import Dict
from RecordMapper.builders.FlatSchemaBuilder import FieldData
class NestedSchemaSelectorApplier(object):
"""An applier that modifies a FlatSchema selecting multiple nested schemas using
the nestedSchemaSelector function from a schema field.
"""
def __init__(self, flat_schemas:... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/appliers/NestedSchemaSelectorApplier.py | 0.948227 | 0.569194 | NestedSchemaSelectorApplier.py | pypi |
import re
import importlib
from collections import namedtuple
from inspect import getmembers, isfunction
from typing import Callable, List
class TransformApplier(object):
"""This applier executes the defined transformations for each field.
"""
def __init__(self, custom_variables: dict):
"""The co... | /RecordMapper-0.7-py3-none-any.whl/RecordMapper/appliers/TransformApplier.py | 0.907428 | 0.633467 | TransformApplier.py | pypi |
import csv
import sys
import typing
# --------------------------------------------------
def parse(cls: typing.Type,
fh: typing.TextIO,
delimiter: str = ',',
mapping: typing.Optional[typing.Dict[str, str]] = None,
fieldnames: typing.Optional[typing.List[str]] = None,
... | /recordparser-0.1.0.tar.gz/recordparser-0.1.0/recordparser.py | 0.413122 | 0.323874 | recordparser.py | pypi |
# Python recordparser
Parse delimited text file into a class
## Synopsis
This module will parse a delimited text file, transforming each record
of text fields into a given class with fields and data types.
Only return records that conform to this description will be returned.
For example, given an input file like t... | /recordparser-0.1.0.tar.gz/recordparser-0.1.0/README.md | 0.657978 | 0.892281 | README.md | pypi |
import os
from sys import stdout
from collections import OrderedDict
from contextlib import contextmanager
from inspect import isclass
import tablib
from docopt import docopt
from sqlalchemy import create_engine, exc, inspect, text
def isexception(obj):
"""Given an object, return a boolean indicating whether it... | /records_csp-0.5.3.1-py3-none-any.whl/records.py | 0.743447 | 0.390883 | records.py | pypi |
import os
from sys import stdout
from collections import OrderedDict
from contextlib import contextmanager
from inspect import isclass
import tablib
from docopt import docopt
from sqlalchemy import create_engine, exc, inspect, text
def isexception(obj):
"""Given an object, return a boolean indicating whether it... | /records-fork-0.5.5.tar.gz/records-fork-0.5.5/records.py | 0.712932 | 0.447521 | records.py | pypi |
from contextlib import contextmanager
from sqlalchemy import MetaData
from ..records.unload_plan import RecordsUnloadPlan
from ..records.records_format import BaseRecordsFormat
from ..records.records_directory import RecordsDirectory
from records_mover.url.base import BaseDirectoryUrl
from typing import Union, List, Op... | /records_mover-1.5.4-py3-none-any.whl/records_mover/db/unloader.py | 0.86609 | 0.174059 | unloader.py | pypi |
from ..url.resolver import UrlResolver
from ..records.records_format import BaseRecordsFormat
from ..records.load_plan import RecordsLoadPlan
from ..records.records_directory import RecordsDirectory
from ..url.filesystem import FilesystemDirectoryUrl
from contextlib import contextmanager
from ..url.base import BaseDire... | /records_mover-1.5.4-py3-none-any.whl/records_mover/db/loader.py | 0.843799 | 0.151938 | loader.py | pypi |
from ...utils import quiet_remove
from ...records.delimited import cant_handle_hint
from ...records.unload_plan import RecordsUnloadPlan
from ...records.records_format import DelimitedRecordsFormat
from typing import Set, Dict, Any
def vertica_export_options(unhandled_hints: Set[str],
unloa... | /records_mover-1.5.4-py3-none-any.whl/records_mover/db/vertica/records_export_options.py | 0.410874 | 0.171304 | records_export_options.py | pypi |
from ...utils import quiet_remove
from ...records.delimited import cant_handle_hint
from records_mover.records.records_format import (
BaseRecordsFormat, DelimitedRecordsFormat, AvroRecordsFormat
)
from records_mover.records.delimited import ValidatedRecordsHints
from records_mover.mover_types import _assert_never
... | /records_mover-1.5.4-py3-none-any.whl/records_mover/db/redshift/records_copy.py | 0.690246 | 0.274947 | records_copy.py | pypi |
import six
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.orm import Mapper, class_mapper
from sqlalchemy.sql.operators import ColumnOperators
from sqlalchemy.dialects import postgresql
__version__ = '0.5.0'
def copy_to(source, dest, engine_or_conn, **flags):
"""Export a query or select to a file. ... | /records_mover-1.5.4-py3-none-any.whl/records_mover/db/postgres/sqlalchemy_postgres_copy.py | 0.774157 | 0.266003 | sqlalchemy_postgres_copy.py | pypi |
from records_mover.records.load_plan import RecordsLoadPlan
from records_mover.records.delimited import ValidatedRecordsHints
from records_mover.records.records_format import DelimitedRecordsFormat
import logging
from typing import Set, Tuple, Optional
from .date_input_style import determine_input_date_order_style
from... | /records_mover-1.5.4-py3-none-any.whl/records_mover/db/postgres/copy_options/__init__.py | 0.79538 | 0.179441 | __init__.py | pypi |
from typing import Iterable, Callable, Any, Optional, Dict, List
import docstring_parser
import enum
import inspect
import typing
from typing_inspect import get_origin, is_callable_type, get_args, is_union_type
import collections.abc
import logging
from collections import OrderedDict
from ..mover_types import JsonSchem... | /records_mover-1.5.4-py3-none-any.whl/records_mover/utils/json_schema.py | 0.82828 | 0.295116 | json_schema.py | pypi |
import logging
from records_mover.mover_types import _ensure_all_cases_covered
from .processing_instructions import ProcessingInstructions
from . import PartialRecordsHints, UntypedRecordsHints
from .base_records_format import BaseRecordsFormat
from typing import Mapping, Optional, TYPE_CHECKING
from .delimited import ... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/records_format.py | 0.820937 | 0.292103 | records_format.py | pypi |
from typing import Optional
from sqlalchemy.engine import Connection
from records_mover.db.quoting import quote_schema_and_table
from records_mover.records.existing_table_handling import ExistingTableHandling
from records_mover.db import DBDriver
from records_mover.records.table import TargetTableDetails
import logging... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/prep.py | 0.647241 | 0.15444 | prep.py | pypi |
from records_mover.mover_types import _ensure_all_cases_covered
from records_mover.records.records_types import RecordsFormatType
from .records_format import (
BaseRecordsFormat, DelimitedRecordsFormat, ParquetRecordsFormat, AvroRecordsFormat
)
from ..url.base import BaseDirectoryUrl, BaseFileUrl
from .processing_i... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/records_format_file.py | 0.743541 | 0.169784 | records_format_file.py | pypi |
from typing import Optional
# An arbitrary 4 mb csv I looked at ran around 100,000 lines.
# Assuming we want to limit our memory usage to, say, 400MB of memory,
# let's limit inference to 1,000,000 lines.
DEFAULT_MAX_SAMPLE_SIZE = 1000000
class ProcessingInstructions:
def __init__(self,
fail_if_... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/processing_instructions.py | 0.921869 | 0.508788 | processing_instructions.py | pypi |
from ...utils.json_schema import method_signature_to_json_schema, JsonParameter, JsonSchemaDocument
from ..existing_table_handling import ExistingTableHandling
from records_mover.records.delimited.hints import Hints
from records_mover.records.records_types import RECORDS_FORMAT_TYPES
from typing import Any, Dict, List,... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/job/schema.py | 0.601008 | 0.227523 | schema.py | pypi |
from .types import PartialRecordsHints, UntypedRecordsHints
from .validated_records_hints import ValidatedRecordsHints
import logging
from typing import Iterable, Union
logger = logging.getLogger(__name__)
def _hint_value(hints: Union[PartialRecordsHints,
UntypedRecordsHints,
... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/delimited/utils.py | 0.644561 | 0.157363 | utils.py | pypi |
from ...utils.retry import google_sheets_retry
from .base import SupportsMoveFromDataframes
import math
import google.auth.credentials
import numpy as np
from ..results import MoveResult
from ..processing_instructions import ProcessingInstructions
from apiclient.discovery import build
from googleapiclient.errors import... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/targets/google_sheets.py | 0.522446 | 0.157493 | google_sheets.py | pypi |
from abc import ABCMeta, abstractmethod
from ..records_directory import RecordsDirectory
from ..records_format import BaseRecordsFormat
from ..processing_instructions import ProcessingInstructions
from ..sources import SupportsMoveToRecordsDirectory
from ..results import MoveResult
from typing import Optional, List, TY... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/targets/base.py | 0.898348 | 0.31662 | base.py | pypi |
import pathlib
from ...url.resolver import UrlResolver
from ..records_format import BaseRecordsFormat
from .fileobj import FileobjTarget
from .directory_from_url import DirectoryFromUrlRecordsTarget
from .data_url import DataUrlTarget
from typing import Callable, Optional, Union, Dict, List, IO, TYPE_CHECKING
from ..ex... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/targets/factory.py | 0.815233 | 0.203846 | factory.py | pypi |
import logging
from records_mover.mover_types import _assert_never
from typing import Optional, cast, TYPE_CHECKING
from records_mover.utils.limits import (FLOAT16_SIGNIFICAND_BITS,
FLOAT32_SIGNIFICAND_BITS,
FLOAT64_SIGNIFICAND_BITS,
... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/schema/field/constraints/constraints.py | 0.868855 | 0.210259 | constraints.py | pypi |
import logging
import json
from ...processing_instructions import ProcessingInstructions
from abc import ABCMeta, abstractmethod
from typing import Dict, Any, cast, Optional, TYPE_CHECKING
if TYPE_CHECKING:
from ....db import DBDriver # noqa
from mypy_extensions import TypedDict
from pandas import DataFram... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/schema/schema/known_representation.py | 0.743168 | 0.151969 | known_representation.py | pypi |
from pandas import DataFrame
from .known_representation import RecordsSchemaKnownRepresentation
from typing import Dict, TYPE_CHECKING
from ...processing_instructions import ProcessingInstructions
if TYPE_CHECKING:
from ..field import RecordsSchemaField # noqa
from ..schema import RecordsSchema # noqa
def s... | /records_mover-1.5.4-py3-none-any.whl/records_mover/records/schema/schema/pandas.py | 0.599133 | 0.224353 | pandas.py | pypi |
import os
from sys import stdout
from collections import OrderedDict
from contextlib import contextmanager
from inspect import isclass
import tablib
from docopt import docopt
from sqlalchemy import create_engine, exc, inspect, text
DATABASE_URL = os.environ.get('DATABASE_URL')
def isexception(obj):
"""Given an... | /records-0.5.3.tar.gz/records-0.5.3/records.py | 0.710528 | 0.357343 | records.py | pypi |
import requests
import json
from requests.auth import HTTPBasicAuth
import yaml
import sys
import binascii
""" Entry point for accessing Address class resources.
Import values from config file."""
with open("config.yaml", 'r') as ymlfile:
cfg = yaml.load(ymlfile)
network = cfg['network']
url = networ... | /recordskeeper_python_lib-0.1.9.tar.gz/recordskeeper_python_lib-0.1.9/recordskeeper_python_lib/address.py | 0.473657 | 0.153486 | address.py | pypi |
import requests
import json
from requests.auth import HTTPBasicAuth
import yaml
import binascii
""" Entry point for accessing Stream class resources.
Import values from config file."""
with open("config.yaml", 'r') as ymlfile:
cfg = yaml.load(ymlfile)
network = cfg['network']
url = network['url']
... | /recordskeeper_python_lib-0.1.9.tar.gz/recordskeeper_python_lib-0.1.9/recordskeeper_python_lib/stream.py | 0.41253 | 0.257695 | stream.py | pypi |
from abc import ABC, abstractmethod
from typing import Union
from copy import deepcopy
from itertools import product
from collections import Counter
import numpy as np
import pandas as pd
from scipy.stats import binom, norm
from ..visualization import EnvironmentPlot
class BaseEnvironment(ABC):
"""
Define th... | /recourse-game-0.1a1.tar.gz/recourse-game-0.1a1/recgame/environments/base.py | 0.927798 | 0.519217 | base.py | pypi |
import warnings
import numpy as np
from .base import BaseRecourse
class NFeatureRecourse(BaseRecourse):
def __init__(self, model, n_features=None, threshold=0.5):
self.model = model
self.n_features = n_features
self.threshold = threshold
def _counterfactual(self, agent, action_set):
... | /recourse-game-0.1a1.tar.gz/recourse-game-0.1a1/recgame/recourse/n_feature_recourse.py | 0.713831 | 0.322633 | n_feature_recourse.py | pypi |
import numpy as np
def is_sklearn_linear_classifier(obj):
"""
Checks if object is a sklearn linear classifier for a binary outcome
:param obj: object
"""
binary_flag = hasattr(obj, "classes_") and len(obj.classes_) == 2
linear_flag = hasattr(obj, "coef_") and hasattr(obj, "intercept_")
ret... | /recourse-game-0.1a1.tar.gz/recourse-game-0.1a1/recgame/recourse/actionable_recourse/utils.py | 0.883939 | 0.634062 | utils.py | pypi |
import logging
import numpy as np
from .flipset import Flipset
from ..base import BaseRecourse
class ActionableRecourse(BaseRecourse):
"""
Should work exactly as defined in the paper if the model is linear.
Otherwise, an explainability model should be used to retrieve coefficients
for each observation... | /recourse-game-0.1a1.tar.gz/recourse-game-0.1a1/recgame/recourse/actionable_recourse/actionable_recourse.py | 0.764496 | 0.472075 | actionable_recourse.py | pypi |
import numpy as np
import pandas as pd
from .utils import parse_classifier_args
from ...populations import ActionSet
from .builder import RecourseBuilder
class Flipset(object):
"""
List of actions that will flip the predicted value of a classifier from x
"""
_valid_enumeration_types = {"mutually_excl... | /recourse-game-0.1a1.tar.gz/recourse-game-0.1a1/recgame/recourse/actionable_recourse/flipset.py | 0.941735 | 0.5047 | flipset.py | pypi |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.neural_network import MLPRegressor
from .swarmplot import swarm
class EnvironmentPlot:
"""
TODO: Add documentation.
"""
_favorable = "green"
_unfavorable = "blue"
_previous = "red"
def __init__(self, env... | /recourse-game-0.1a1.tar.gz/recourse-game-0.1a1/recgame/visualization/plot_environment.py | 0.621426 | 0.412057 | plot_environment.py | pypi |
from recruiter_app.utilities.helpers import *
class RatingRecipe:
def __init__(self, skills_required, data_skills_obj,
so_extra_score, primary_data_source, gh_extra_score=None,
so_dampen_factor=0.25, gh_dampen_factor=0.25):
self.skills_required = skills_required
s... | /recruiter_app-1.0.5-py3-none-any.whl/recruiter_app/elt_app/service/rating_recipes.py | 0.741019 | 0.16398 | rating_recipes.py | pypi |
import contextlib, importlib, inspect, os, sys, unittest, warnings
__author__ = "Tom Ritchford <tom@swirly.com>"
__version__ = "0.9.2"
class ImportAllTest(unittest.TestCase):
"""
A unit test that imports every file and module in a Python repository,
optionally treating warnings as errors.
"""
WA... | /recs-0.9.2.tar.gz/recs-0.9.2/recs.py | 0.53777 | 0.430387 | recs.py | pypi |
"""Bandit simulation story."""
from typing import Any, Callable, Collection, Mapping, Text
from recsim_ng.core import variable
from recsim_ng.entities.bandits import algorithm
from recsim_ng.entities.bandits import context
from recsim_ng.entities.bandits import generator
from recsim_ng.entities.bandits import metrics
... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/stories/bandit_simulation.py | 0.95104 | 0.674896 | bandit_simulation.py | pypi |
"""Recs simulation stories."""
from typing import Collection, Tuple, Union
from recsim_ng.core import value
from recsim_ng.core import variable
from recsim_ng.entities.recommendation import corpus as corpus_lib
from recsim_ng.entities.recommendation import metrics as metrics_lib
from recsim_ng.entities.recommendation ... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/stories/recommendation_simulation.py | 0.92566 | 0.356349 | recommendation_simulation.py | pypi |
import collections
from typing import Any, Callable, Mapping, MutableMapping, Text, Tuple
FieldValue = Any # The value of one Value field, often an ed.RandomVariable.
_PREFIX_SEPARATOR = "."
Config = MutableMapping[Text, Any]
class Value(object):
"""A mapping from field name to `FieldValue`.
Examples:
```... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/core/value.py | 0.8979 | 0.76921 | value.py | pypi |
import collections
from typing import Collection, Mapping, MutableSequence, MutableSet, Sequence, Text, Tuple
from recsim_ng.core import value as value_lib
from recsim_ng.core import variable as variable_lib
FieldValue = value_lib.FieldValue
Value = value_lib.Value
Variable = variable_lib.Variable
NetworkValue = Map... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/core/network.py | 0.91458 | 0.787707 | network.py | pypi |
from typing import Callable, Sequence, Text, Union
import dataclasses
from recsim_ng.core import value as value_lib
Value = value_lib.Value
ValueSpec = value_lib.ValueSpec
@dataclasses.dataclass(frozen=True)
class Dependency:
"""Represents a Dependency of one `Variable` on another (or itself).
The current `Va... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/core/variable.py | 0.923898 | 0.83825 | variable.py | pypi |
"""A simple demostration of RecSim NG."""
import time
from absl import app
from absl import flags
import edward2 as ed # type: ignore
from gym import spaces
import numpy as np
from recsim_ng.core import network as network_lib
from recsim_ng.core import value as value_lib
from recsim_ng.core import variable
from rec... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/demo.py | 0.767516 | 0.417153 | demo.py | pypi |
"""User entity for the simulation of learning latent variable models."""
from typing import Callable, Optional, Text
import edward2 as ed # type: ignore
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.choice_models import affinities
from recsim_ng.entitie... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/latent_variable_model_learning/user.py | 0.93196 | 0.542803 | user.py | pypi |
"""Demostrate how we learn user satisfaction sensitivity parameters."""
import time
from absl import app
from recsim_ng.applications.latent_variable_model_learning import simulation_config
from recsim_ng.core import network as network_lib
from recsim_ng.core import value
from recsim_ng.lib.tensorflow import entity
fr... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/latent_variable_model_learning/latent_variable_model_demo.py | 0.799129 | 0.430088 | latent_variable_model_demo.py | pypi |
# Line as: python3
"""For measuring social welfare of an ecosystem."""
from typing import Tuple
import numpy as np
from recsim_ng.applications.ecosystem_simulation import simulation_config
from recsim_ng.core import network as network_lib
from recsim_ng.lib.tensorflow import runtime
import tensorflow as tf
def run_s... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/ecosystem_simulation/ecosystem_simulation.py | 0.929728 | 0.642531 | ecosystem_simulation.py | pypi |
"""Corpus entity for welfare simulation."""
import edward2 as ed # type: ignore
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.choice_models import selectors
from recsim_ng.entities.recommendation import corpus
from recsim_ng.entities.state_models import ... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/ecosystem_simulation/corpus.py | 0.80329 | 0.485356 | corpus.py | pypi |
"""A recommender recommends the closest documents based on some affinity."""
from typing import Callable
import edward2 as ed # type: ignore
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.choice_models import affinities
from recsim_ng.entities.choice_mod... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/ecosystem_simulation/recommender.py | 0.901248 | 0.450662 | recommender.py | pypi |
"""User entity for welfare simulation."""
from typing import Callable
import edward2 as ed # type: ignore
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.choice_models import affinities
from recsim_ng.entities.choice_models import selectors
from recsim_ng.... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/ecosystem_simulation/user.py | 0.914102 | 0.287069 | user.py | pypi |
"""Corpus entity for generating synthetic data with soft attributes."""
import edward2 as ed # type: ignore
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.recommendation import corpus
from recsim_ng.entities.state_models import static
from recsim_ng.lib.t... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/cav_synthetic_model/corpus.py | 0.905314 | 0.62661 | corpus.py | pypi |
"""User entity for generating synthetic data with soft attributes."""
from typing import Callable, Optional
import edward2 as ed # type: ignore
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.choice_models import affinities
from recsim_ng.entities.choice_m... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/cav_synthetic_model/user.py | 0.926037 | 0.682798 | user.py | pypi |
# Line as: python3
"""WIP: For testing differentiable interest evolution networks."""
from typing import Any, Callable, Collection, Sequence, Text, Optional
from recsim_ng.core import network as network_lib
from recsim_ng.core import variable
from recsim_ng.lib.tensorflow import log_probability
from recsim_ng.lib.te... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/recsys_partially_observable_rl/interest_evolution_simulation.py | 0.929312 | 0.556942 | interest_evolution_simulation.py | pypi |
"""Corpus entity for partially observable RL simulation."""
import edward2 as ed # type: ignore
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.recommendation import corpus
from recsim_ng.lib.tensorflow import field_spec
import tensorflow as tf
Value = va... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/recsys_partially_observable_rl/corpus.py | 0.912105 | 0.37242 | corpus.py | pypi |
"""Recommendation agents."""
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.choice_models import selectors as selector_lib
from recsim_ng.entities.recommendation import recommender
from recsim_ng.entities.state_models import dynamic
from recsim_ng.entities... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/recsys_partially_observable_rl/recommender.py | 0.907568 | 0.354629 | recommender.py | pypi |
"""User entity for long-term interests evolution simulation."""
from typing import Callable, Optional, Sequence
import gin
from gym import spaces
import numpy as np
from recsim_ng.core import value
from recsim_ng.entities.choice_models import affinities as affinity_lib
from recsim_ng.entities.choice_models import sel... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/applications/recsys_partially_observable_rl/user.py | 0.936944 | 0.326996 | user.py | pypi |
import abc
from typing import Any, Callable, Optional, Text
from recsim_ng.core import value as value_lib
from recsim_ng.core import variable
FieldSpec = value_lib.FieldSpec
FieldValue = value_lib.FieldValue
ValueSpec = value_lib.ValueSpec
Value = value_lib.Value
Variable = variable.Variable
DataIndex = Any
DataEl... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/lib/data.py | 0.903115 | 0.879509 | data.py | pypi |
from typing import Any, List, Mapping, Optional, Text
import jax
import jax.numpy as jnp
from recsim_ng.core import network as network_lib
from recsim_ng.core import value as value_lib
from recsim_ng.lib import runtime
Value = value_lib.Value
Network = network_lib.Network
NetworkValue = network_lib.NetworkValue
Netwo... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/lib/jax/runtime.py | 0.961902 | 0.757346 | runtime.py | pypi |
import functools
from typing import Callable, Collection, Mapping, Sequence, Text
import edward2 as ed # type: ignore
from recsim_ng.core import network as network_lib
from recsim_ng.core import value as value_lib
from recsim_ng.core import variable as variable_lib
from recsim_ng.lib import data
from recsim_ng.lib.te... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/lib/tensorflow/log_probability.py | 0.945814 | 0.743028 | log_probability.py | pypi |
"""Entities base class and supporting functons."""
from typing import Any, Callable, Collection, Mapping, Sequence, Text, Tuple
import edward2 as ed
from recsim_ng.core import variable as variable_lib
import tensorflow as tf
Story = Callable[[], Any]
EntityMap = Mapping[Text, 'Entity']
TrainableVariables = Mapping[T... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/lib/tensorflow/entity.py | 0.93154 | 0.29876 | entity.py | pypi |
from typing import Text, Tuple, Union, Sequence
import edward2 as ed # type: ignore
from gym import spaces
from recsim_ng.core import value
import tensorflow as tf
FieldValue = value.FieldValue
TFInvariant = Union[None, tf.TypeSpec, tf.TensorShape]
_DYNAMIC_DIM = None
class FieldSpec(value.FieldSpec):
"""Base Te... | /recsim_ng-0.1.2-py3-none-any.whl/recsim_ng/lib/tensorflow/field_spec.py | 0.958528 | 0.499756 | field_spec.py | pypi |
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