id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
166,712 | from __future__ import annotations
import abc
import asyncio
import functools
import sys
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
from typing import ParamSpec, TypeVar
import pathway.internals.expression as expr
from pathway.internals.runtime_type_check import check_arg_types
fr... | Returns the synchronous executor for Pathway UDFs. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown( ... ''' ... a | b ... 1 | 2 ... 3 | 4 ... 5 | 6 ... ''' ... ) >>> >>> @pw.udf(executor=pw.udfs.sync_executor()) ... def mul(a: int, b: int) -> int: ... return a * b ... >>> result = t.select(res=mu... |
166,713 | from __future__ import annotations
import abc
import asyncio
import functools
import sys
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
from typing import ParamSpec, TypeVar
import pathway.internals.expression as expr
from pathway.internals.runtime_type_check import check_arg_types
fr... | Returns the asynchronous executor for Pathway UDFs. Can be applied to a regular or an asynchronous function. If applied to a regular function, it is executed in ``asyncio`` loop's ``run_in_executor``. The asynchronous UDFs are asynchronous *within a single batch* with batch defined as all entries with equal processing ... |
166,714 | from __future__ import annotations
import abc
import asyncio
import functools
import sys
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
from typing import ParamSpec, TypeVar
import pathway.internals.expression as expr
from pathway.internals.runtime_type_check import check_arg_types
fr... | Decorator applying async options to a provided function. Regular function will be wrapped to run in async executor. Args: capacity: Maximum number of concurrent operations. Defaults to None, indicating no specific limit. timeout: Maximum time (in seconds) to wait for the function result. When both ``timeout`` and ``ret... |
166,715 | from __future__ import annotations
import functools
import warnings
from collections.abc import Callable, Mapping
from typing import TYPE_CHECKING, Any, Generic, TypeVar, cast, overload
import pathway.internals.column as clmn
import pathway.internals.expression as expr
from pathway.internals import api, dtype as dt, gr... | null |
166,716 | from __future__ import annotations
import functools
import warnings
from collections.abc import Callable, Mapping
from typing import TYPE_CHECKING, Any, Generic, TypeVar, cast, overload
import pathway.internals.column as clmn
import pathway.internals.expression as expr
from pathway.internals import api, dtype as dt, gr... | null |
166,717 | from __future__ import annotations
import functools
import warnings
from collections.abc import Callable, Mapping
from typing import TYPE_CHECKING, Any, Generic, TypeVar, cast, overload
import pathway.internals.column as clmn
import pathway.internals.expression as expr
from pathway.internals import api, dtype as dt, gr... | Groups join result by columns from args. Note: Usually followed by `.reduce()` that aggregates the result and returns a table. Args: grouped: ``JoinResult`` to group by. args: columns to group by. id: if provided, is the column used to set id's of the rows of the result **kwargs: extra arguments, see respective documen... |
166,718 | from __future__ import annotations
import itertools
from collections import defaultdict
from collections.abc import Iterable
from typing import TYPE_CHECKING
from pathway.internals import dtype as dt, expression as expr
from pathway.internals.expression_visitor import ExpressionVisitor
class ExpressionFormatter(Express... | null |
166,719 | from __future__ import annotations
import itertools
from collections import defaultdict
from collections.abc import Iterable
from typing import TYPE_CHECKING
from pathway.internals import dtype as dt, expression as expr
from pathway.internals.expression_visitor import ExpressionVisitor
def _type_name(return_type):
... | null |
166,720 | from __future__ import annotations
from collections.abc import Callable
from functools import wraps
from pathway.internals import dtype as dt, operator as op, row_transformer as rt
from pathway.internals.helpers import function_spec, with_optional_kwargs
from pathway.internals.parse_graph import G
def _operator_wrapper... | null |
166,721 | from __future__ import annotations
from collections.abc import Callable
from functools import wraps
from pathway.internals import dtype as dt, operator as op, row_transformer as rt
from pathway.internals.helpers import function_spec, with_optional_kwargs
from pathway.internals.parse_graph import G
The provided code sn... | Returns new input_attribute. To be used inside class transformers. Example: >>> import pathway as pw >>> @pw.transformer ... class simple_transformer: ... class table(pw.ClassArg): ... arg = pw.input_attribute() ... ... @pw.output_attribute ... def ret(self) -> float: ... return self.arg + 1 ... >>> t1 = pw.debug.table... |
166,722 | from __future__ import annotations
from collections.abc import Callable
from functools import wraps
from pathway.internals import dtype as dt, operator as op, row_transformer as rt
from pathway.internals.helpers import function_spec, with_optional_kwargs
from pathway.internals.parse_graph import G
The provided code sn... | Decorator for defining input methods in class transformers. Example: >>> import pathway as pw >>> @pw.transformer ... class first_transformer: ... class table(pw.ClassArg): ... a: float = pw.input_attribute() ... ... @pw.method ... def fun(self, arg) -> int: ... return self.a * arg ... >>> @pw.transformer ... class sec... |
166,723 | from __future__ import annotations
from collections.abc import Callable
from functools import wraps
from pathway.internals import dtype as dt, operator as op, row_transformer as rt
from pathway.internals.helpers import function_spec, with_optional_kwargs
from pathway.internals.parse_graph import G
The provided code sn... | Decorator for creation of attributes. Example: >>> import pathway as pw >>> @pw.transformer ... class simple_transformer: ... class table(pw.ClassArg): ... arg = pw.input_attribute() ... ... @pw.attribute ... def attr(self) -> float: ... return self.arg*2 ... ... @pw.output_attribute ... def ret(self) -> float: ... ret... |
166,724 | from __future__ import annotations
from collections.abc import Callable
from functools import wraps
from pathway.internals import dtype as dt, operator as op, row_transformer as rt
from pathway.internals.helpers import function_spec, with_optional_kwargs
from pathway.internals.parse_graph import G
The provided code sn... | Decorator for creation of output_attributes. Example: >>> import pathway as pw >>> @pw.transformer ... class simple_transformer: ... class table(pw.ClassArg): ... arg = pw.input_attribute() ... ... @pw.output_attribute ... def ret(self) -> float: ... return self.arg + 1 ... >>> t1 = pw.debug.table_from_markdown(''' ...... |
166,725 | from __future__ import annotations
from collections.abc import Callable
from functools import wraps
from pathway.internals import dtype as dt, operator as op, row_transformer as rt
from pathway.internals.helpers import function_spec, with_optional_kwargs
from pathway.internals.parse_graph import G
The provided code sn... | Decorator for creation methods in class transformers. Example: >>> import pathway as pw >>> @pw.transformer ... class simple_transformer: ... class table(pw.ClassArg): ... a: float = pw.input_attribute() ... ... @pw.output_attribute ... def b(self) -> float: ... return self.fun(self.a) ... ... @method ... def fun(self,... |
166,726 | from __future__ import annotations
from collections.abc import Callable
from functools import wraps
from pathway.internals import dtype as dt, operator as op, row_transformer as rt
from pathway.internals.helpers import function_spec, with_optional_kwargs
from pathway.internals.parse_graph import G
The provided code sn... | Decorator that wraps the outer class when defining class transformers. Example: >>> import pathway as pw >>> @pw.transformer ... class simple_transformer: ... class table(pw.ClassArg): ... arg = pw.input_attribute() ... ... @pw.output_attribute ... def ret(self) -> float: ... return self.arg + 1 ... >>> t1 = pw.debug.t... |
166,727 | from __future__ import annotations
import contextlib
import functools
import sys
import traceback
from collections.abc import Callable
from dataclasses import dataclass
from typing import TYPE_CHECKING, ParamSpec, TypeVar
class Trace:
frames: list[Frame]
user_frame: Frame | None
def from_traceback():
... | null |
166,728 | import os
from dataclasses import dataclass, field
from pathway import persistence
from pathway.internals import api
def _env_field(name: str, default: str | None = None):
def factory():
return os.environ.get(name, default)
return field(default_factory=factory) | null |
166,729 | import os
from dataclasses import dataclass, field
from pathway import persistence
from pathway.internals import api
def _env_bool_field(name: str):
def factory():
value = os.environ.get(name, "false").lower()
if value in ("1", "true", "yes"):
return True
elif value in ("0", "fa... | null |
166,730 | import os
from dataclasses import dataclass, field
from pathway import persistence
from pathway.internals import api
def _snapshot_access() -> api.SnapshotAccess | None:
match os.environ.get("PATHWAY_SNAPSHOT_ACCESS", "").lower():
case "record":
return api.SnapshotAccess.RECORD
case "re... | null |
166,731 | import os
from dataclasses import dataclass, field
from pathway import persistence
from pathway.internals import api
def _persistence_mode() -> api.PersistenceMode:
match os.environ.get(
"PATHWAY_PERSISTENCE_MODE", os.environ.get("PATHWAY_REPLAY_MODE", "")
).lower():
case "speedrun":
... | null |
166,732 | import os
from dataclasses import dataclass, field
from pathway import persistence
from pathway.internals import api
pathway_config = PathwayConfig()
def set_license_key(key: str) -> None:
pathway_config.license_key = key | null |
166,733 | import os
from dataclasses import dataclass, field
from pathway import persistence
from pathway.internals import api
pathway_config = PathwayConfig()
def set_telemetry_server(endpoint: str) -> None:
pathway_config.telemetry_server = endpoint | null |
166,734 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,735 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,736 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,737 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,738 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,739 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,740 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,741 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,742 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,743 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,744 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,745 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,746 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,747 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,748 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,749 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,750 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,751 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,752 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,753 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,754 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,755 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,756 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,757 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,758 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,759 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,760 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,761 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,762 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,763 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,764 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,765 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,766 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,767 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,768 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,769 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,770 | from __future__ import annotations
import itertools
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import sqlglot
import sqlglot.expressions as sql_expr
from sqlglot.errors import OptimizeError
from sqlglot.optimizer import qualify_columns
from pathway.internals import expression as expr, if... | null |
166,771 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
_min = TypePreservingUnaryReducer(name="min", engin... | Returns the minimum of the aggregated values. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown(''' ... colA | colB ... valA | -1 ... valA | 1 ... valA | 2 ... valB | 4 ... valB | 4 ... valB | 7 ... ''') >>> result = t.groupby(t.colA).reduce(min=pw.reducers.min(t.colB)) >>> pw.debug.compute_and_pri... |
166,772 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
_max = TypePreservingUnaryReducer(name="max", engin... | Returns the maximum of the aggregated values. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown(''' ... colA | colB ... valA | -1 ... valA | 1 ... valA | 2 ... valB | 4 ... valB | 4 ... valB | 7 ... ''') >>> result = t.groupby(t.colA).reduce(max=pw.reducers.max(t.colB)) >>> pw.debug.compute_and_pri... |
166,773 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
_argmin = FixedOutputUnaryReducer(
output_type=... | Returns the index of the minimum aggregated value. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown(''' ... colA | colB ... valA | -1 ... valA | 1 ... valA | 2 ... valB | 4 ... valB | 4 ... valB | 7 ... ''') >>> pw.debug.compute_and_print(t) | colA | colB ^X1MXHYY... | valA | -1 ^YYY4HAB... | valA... |
166,774 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
_argmax = FixedOutputUnaryReducer(
output_type=... | Returns the index of the maximum aggregated value. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown(''' ... colA | colB ... valA | -1 ... valA | 1 ... valA | 2 ... valB | 4 ... valB | 4 ... valB | 7 ... ''') >>> pw.debug.compute_and_print(t) | colA | colB ^X1MXHYY... | valA | -1 ^YYY4HAB... | valA... |
166,775 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
_unique = TypePreservingUnaryReducer(name="unique",... | Returns aggregated value, if all values are identical. If values are not identical, exception is raised. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown(''' ... | colA | colB | colD ... 1 | valA | 1 | 3 ... 2 | valA | 1 | 3 ... 3 | valA | 1 | 3 ... 4 | valB | 2 | 4 ... 5 | valB | 2 | 5 ... 6 | va... |
166,776 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
_any = TypePreservingUnaryReducer(name="any", engin... | Returns any of the aggregated values. Values are consistent across application to many columns. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown(''' ... | colA | colB | colD ... 1 | valA | -1 | 4 ... 2 | valA | 1 | 7 ... 3 | valA | 2 | -3 ... 4 | valB | 4 | 2 ... 5 | valB | 5 | 6 ... 6 | valB | 7 ... |
166,777 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
def sum(arg: expr.ColumnExpression) -> expr.Reducer... | null |
166,778 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
def sum(arg: expr.ColumnExpression) -> expr.Reducer... | Returns the average of the aggregated values. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown(''' ... colA | colB ... valA | -1 ... valA | 1 ... valA | 2 ... valB | 4 ... valB | 4 ... valB | 7 ... ''') >>> result = t.groupby(t.colA).reduce(avg=pw.reducers.avg(t.colB)) >>> pw.debug.compute_and_pri... |
166,779 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
def sum(arg: expr.ColumnExpression) -> expr.Reducer... | null |
166,780 | from __future__ import annotations
import builtins
from abc import ABC, abstractmethod
from warnings import warn
import numpy as np
from pathway.internals import api, dtype as dt, expression as expr
from pathway.internals.column import ColumnExpression, GroupedContext
def tuple(arg: expr.ColumnExpression, *, skip_nones... | Returns an array containing all the aggregated values. Order of values inside an array is consistent across application to many columns. If optional argument skip_nones is set to True, any Nones in aggregated values are omitted from the result. Example: >>> import pathway as pw >>> t = pw.debug.table_from_markdown(''' ... |
166,781 | from __future__ import annotations
import csv
import dataclasses
import itertools
from collections import ChainMap
from collections.abc import Callable, Iterable, KeysView, Mapping
from dataclasses import dataclass
from os import PathLike
from pydoc import locate
from types import MappingProxyType
from typing import TY... | null |
166,782 | from __future__ import annotations
import csv
import dataclasses
import itertools
from collections import ChainMap
from collections.abc import Callable, Iterable, KeysView, Mapping
from dataclasses import dataclass
from os import PathLike
from pydoc import locate
from types import MappingProxyType
from typing import TY... | Constructs schema from kwargs: field=type. Example: >>> import pathway as pw >>> s = pw.schema_from_types(foo=int, bar=str) >>> s <pathway.Schema types={'foo': <class 'int'>, 'bar': <class 'str'>}> >>> issubclass(s, pw.Schema) True |
166,783 | from __future__ import annotations
import csv
import dataclasses
import itertools
from collections import ChainMap
from collections.abc import Callable, Iterable, KeysView, Mapping
from dataclasses import dataclass
from os import PathLike
from pydoc import locate
from types import MappingProxyType
from typing import TY... | null |
166,784 | from __future__ import annotations
import csv
import dataclasses
import itertools
from collections import ChainMap
from collections.abc import Callable, Iterable, KeysView, Mapping
from dataclasses import dataclass
from os import PathLike
from pydoc import locate
from types import MappingProxyType
from typing import TY... | null |
166,785 | from __future__ import annotations
import csv
import dataclasses
import itertools
from collections import ChainMap
from collections.abc import Callable, Iterable, KeysView, Mapping
from dataclasses import dataclass
from os import PathLike
from pydoc import locate
from types import MappingProxyType
from typing import TY... | null |
166,786 | from __future__ import annotations
import csv
import dataclasses
import itertools
from collections import ChainMap
from collections.abc import Callable, Iterable, KeysView, Mapping
from dataclasses import dataclass
from os import PathLike
from pydoc import locate
from types import MappingProxyType
from typing import TY... | null |
166,787 | from __future__ import annotations
import csv
import dataclasses
import itertools
from collections import ChainMap
from collections.abc import Callable, Iterable, KeysView, Mapping
from dataclasses import dataclass
from os import PathLike
from pydoc import locate
from types import MappingProxyType
from typing import TY... | Allows to build schema inline, from a dictionary of column definitions. Compared to pw.schema_builder, this one uses simpler structure of the dictionary, which allows it to be loaded from JSON file. Args: columns: dictionary of column definitions. The keys in this dictionary are names of the columns, and the values are... |
166,788 | from __future__ import annotations
import csv
import dataclasses
import itertools
from collections import ChainMap
from collections.abc import Callable, Iterable, KeysView, Mapping
from dataclasses import dataclass
from os import PathLike
from pydoc import locate
from types import MappingProxyType
from typing import TY... | Allows to generate schema based on a CSV file. The names of the columns are taken from the header of the CSV file. Types of columns are inferred from the values, by checking if they can be parsed. Currently supported types are str, int and float. Args: path: path to the CSV file. name: schema name. properties: schema p... |
166,789 | from __future__ import annotations
from collections import namedtuple
from collections.abc import Iterable, Iterator, MutableSet
from functools import partial, wraps
from typing import Generic, TypeVar
from pathway.internals import arg_tuple
from pathway.internals.shadows import inspect
def with_optional_kwargs(decora... | null |
166,790 | from __future__ import annotations
from collections import namedtuple
from collections.abc import Iterable, Iterator, MutableSet
from functools import partial, wraps
from typing import Generic, TypeVar
from pathway.internals import arg_tuple
from pathway.internals.shadows import inspect
FunctionSpec = namedtuple("Funct... | Returns arguments passed to function wrapped in ArgTuple |
166,791 | from collections.abc import Callable, Mapping
from typing import Any
from pathway.internals import api, dtype as dt
from pathway.internals.shadows import operator
_unary_operators_mapping: UnaryOperatorMapping = {
(operator.inv, dt.BOOL): dt.BOOL,
(operator.neg, dt.INT): dt.INT,
(operator.neg, dt.FLOAT): dt... | null |
166,792 | from collections.abc import Callable, Mapping
from typing import Any
from pathway.internals import api, dtype as dt
from pathway.internals.shadows import operator
_unary_operators_to_engine: Mapping[UnaryOperator, api.UnaryOperator] = {
operator.inv: api.UnaryOperator.INV,
operator.neg: api.UnaryOperator.NEG,
}... | null |
166,793 | from collections.abc import Callable, Mapping
from typing import Any
from pathway.internals import api, dtype as dt
from pathway.internals.shadows import operator
_binary_operators_mapping: BinaryOperatorMapping = {
(operator.and_, dt.BOOL, dt.BOOL): dt.BOOL,
(operator.or_, dt.BOOL, dt.BOOL): dt.BOOL,
(oper... | null |
166,794 | from collections.abc import Callable, Mapping
from typing import Any
from pathway.internals import api, dtype as dt
from pathway.internals.shadows import operator
_binary_operators_to_engine: Mapping[BinaryOperator, api.BinaryOperator] = {
operator.and_: api.BinaryOperator.AND,
operator.or_: api.BinaryOperator.... | null |
166,795 | from collections.abc import Callable, Mapping
from typing import Any
from pathway.internals import api, dtype as dt
from pathway.internals.shadows import operator
_binary_operators_mapping_optionals: OptionalMapping = {
operator.eq: (dt.BOOL, api.Expression.eq),
operator.ne: (dt.BOOL, api.Expression.ne),
}
def... | null |
166,796 | from collections.abc import Callable, Mapping
from typing import Any
from pathway.internals import api, dtype as dt
from pathway.internals.shadows import operator
def get_cast_operators_mapping(
expr: api.Expression, source_type: dt.DType, target_type: dt.DType, default=None
) -> api.Expression | None:
source_... | null |
166,797 | from collections.abc import Callable, Mapping
from typing import Any
from pathway.internals import api, dtype as dt
from pathway.internals.shadows import operator
def get_convert_operators_mapping(
expr: api.Expression, source_type: dt.DType, target_type: dt.DType
) -> api.Expression | None:
source_type_engine... | null |
166,798 | from collections.abc import Callable, Mapping
from typing import Any
from pathway.internals import api, dtype as dt
from pathway.internals.shadows import operator
def common_dtype_in_binary_operator(
left_dtype: dt.DType, right_dtype: dt.DType
) -> dt.DType | None:
if (
left_dtype in [dt.INT, dt.Option... | null |
166,799 | from __future__ import annotations
from abc import abstractmethod
from collections.abc import Iterable, Mapping
from functools import wraps
from typing import TYPE_CHECKING, Any, TypeVar
from pathway.internals import expression as expr
from pathway.internals.expression_visitor import IdentityTransform
from pathway.inte... | null |
166,800 | from __future__ import annotations
from abc import abstractmethod
from collections.abc import Iterable, Mapping
from functools import wraps
from typing import TYPE_CHECKING, Any, TypeVar
from pathway.internals import expression as expr
from pathway.internals.expression_visitor import IdentityTransform
from pathway.inte... | null |
166,801 | from warnings import warn
import pandas as pd
import pathway.internals.expression as expr
from pathway.internals import api, dtype as dt
def _str_as_duration(freq: str) -> pd.Timedelta:
duration = pd.tseries.frequencies.to_offset(freq)
if duration is None:
raise ValueError(f"string {freq} cannot be par... | null |
166,802 | from __future__ import annotations
import dataclasses
from abc import ABC, abstractmethod
from collections.abc import Callable, Iterable
from functools import lru_cache
from typing import TYPE_CHECKING, Any, Mapping, cast
from pathway.internals import api, dtype as dt, helpers
from pathway.internals.api import Value
fr... | null |
166,803 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | Iterate function until fixed point. Function has to take only Table arguments. Function has to return a single Table, a tuple of Tables, or a dict of Tables. Iterate returns the same shape of arguments as the ``func`` function: either a single Table, a tuple of Tables, or a dict of Tables, respectively. Initial argumen... |
166,804 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | Applies function to column expressions, column-wise. Output column type deduced from type-annotations of a function. Example: >>> import pathway as pw >>> def concat(left: str, right: str) -> str: ... return left+right >>> t1 = pw.debug.table_from_markdown(''' ... age owner pet ... 10 Alice dog ... 9 Bob dog ... 8 Alic... |
166,805 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | Applies function to column expressions, column-wise. Function has to be numba compilable. Currently only a few signatures are supported: - function has to be unary or binary - arguments and return type has to be either int64 or float64 Example: >>> import pathway as pw >>> t1 = pw.debug.table_from_markdown(''' ... val ... |
166,806 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | r"""Applies function asynchronously to column expressions, column-wise. Output column type deduced from type-annotations of a function. Either a regular or async function can be passed. Example: >>> import pathway as pw >>> import asyncio >>> async def concat(left: str, right: str) -> str: ... await asyncio.sleep(0.1) ... |
166,807 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | Used to change the type of a column to a particular type. Disclaimer: it only changes type in a schema, it does not affect values stored. Example: >>> import pathway as pw >>> t1 = pw.debug.table_from_markdown(''' ... val ... 1 10 ... 2 9.5 ... 3 8 ... 4 7''') >>> t1.schema <pathway.Schema types={'val': <class 'float'>... |
166,808 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | For arguments list arg_1, arg_2, ..., arg_n returns first not-None value. Example: >>> import pathway as pw >>> t1 = pw.debug.table_from_markdown(''' ... colA colB ... | 10 ... 2 | ... | ... 4 | 7''') >>> t2 = t1.select(t1.colA, t1.colB, col=pw.coalesce(t1.colA, t1.colB)) >>> pw.debug.compute_and_print(t2, include_id=F... |
166,809 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | Returns val iff every dep in deps is not-None. Returns None otherwise. Example: >>> import pathway as pw >>> t1 = pw.debug.table_from_markdown(''' ... colA colB ... | 10 ... 2 | ... | ... 4 | 7''') >>> t2 = t1.select(t1.colA, t1.colB, col=pw.require(t1.colA + t1.colB, t1.colA, t1.colB)) >>> pw.debug.compute_and_print(t... |
166,810 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | Equivalent to:: if (if_clause): return (then_clause) else: return (else_clause) Example: >>> import pathway as pw >>> t1 = pw.debug.table_from_markdown(''' ... colA colB ... 1 | 0 ... 2 | 2 ... 6 | 3''') >>> t2 = t1.select(res = pw.if_else(t1.colB != 0, t1.colA // t1.colB, 0)) >>> pw.debug.compute_and_print(t2, include... |
166,811 | from __future__ import annotations
import inspect
from collections import defaultdict
from collections.abc import Callable, Mapping
from functools import wraps
from typing import (
Any,
ParamSpec,
TypeVar,
get_args,
get_origin,
get_type_hints,
overload,
)
from warnings import warn
from pathw... | Creates a tuple from the provided expressions. Args: args: a list of expressions to be put in a tuple Returns: tuple Note: - Each cell in the output column will be a tuple containing the corresponding values from the input \ columns. - The order of values in each tuple will match the order of the input columns. - If an... |
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