def get_logging_handler(destination: str = "null") -> logging.Handler:
    global _log_handlers
    return _log_handlers[destination]

            

Reported by Pylint.

              #!/usr/bin/env python3

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

import logging

            

Reported by Pylint.

              }


def get_logging_handler(destination: str = "null") -> logging.Handler:
    global _log_handlers
    return _log_handlers[destination]

            

Reported by Pylint.

              

def get_logging_handler(destination: str = "null") -> logging.Handler:
    global _log_handlers
    return _log_handlers[destination]

            

Reported by Pylint.

                  path = folder / 'settings.json'
    try:
        current = json.loads(path.read_text())
    except Exception:
        current = {}
    with open(path, 'w') as f:
        json.dump({**current, **recommended}, f, indent=2)
        f.write('\n')


            

Reported by Pylint.

              #!/usr/bin/env python3

import json
from pathlib import Path


def main() -> None:
    folder = Path('.vscode')
    recommended = json.loads((folder / 'settings_recommended.json').read_text())

            

Reported by Pylint.

              from pathlib import Path


def main() -> None:
    folder = Path('.vscode')
    recommended = json.loads((folder / 'settings_recommended.json').read_text())
    path = folder / 'settings.json'
    try:
        current = json.loads(path.read_text())

            

Reported by Pylint.

                      current = json.loads(path.read_text())
    except Exception:
        current = {}
    with open(path, 'w') as f:
        json.dump({**current, **recommended}, f, indent=2)
        f.write('\n')


if __name__ == '__main__':

            

Reported by Pylint.

              # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

import ipaddress
import random
import re

            

Reported by Pylint.

                      return config

    key_values = config_str.split(",")
    for kv in key_values:
        key, *values = kv.split("=", 1)

        key = key.strip()
        if not key:
            raise ValueError(

            

Reported by Pylint.

                          bound within which a random delay will be picked.
    """
    if isinstance(seconds, tuple):
        seconds = random.uniform(*seconds)
    # Ignore delay requests that are less than 10 milliseconds.
    if seconds >= 0.01:
        time.sleep(seconds)



            

Reported by Bandit.

              
    # The state of the timer is hold in a separate context object to avoid a
    # reference cycle between the timer and the background thread.
    class _Context:
        interval: float
        function: Callable[..., None]
        args: Tuple[Any, ...]
        kwargs: Dict[str, Any]
        stop_event: Event

            

Reported by Pylint.

              #!/usr/bin/env python3
# -*- coding: utf-8 -*-

# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.


            

Reported by Pylint.

              
log = logging.getLogger(__name__)

_default_timeout_seconds = 600


class StaticTCPRendezvous(RendezvousHandler):
    """
    Static rendezvous that is a wrapper around the TCPStore.

            

Reported by Pylint.

                  listener on the agent with group_rank=0
    """

    def __init__(
        self,
        master_addr: str,
        master_port: int,
        rank: int,
        world_size: int,

            

Reported by Pylint.

                      return True


def create_rdzv_handler(params: RendezvousParameters) -> RendezvousHandler:
    if "rank" not in params.config:
        raise ValueError(
            "rank is absent in RendezvousParameters."
            "Try add --node_rank to the cmd request"
        )

            

Reported by Pylint.

                    if (true_exits && false_exits) {
        continue;
      } else if (true_exits) {
        tv = graph->createUninitialized(fv->type())
                 ->insertBefore(true_block->return_node())
                 ->output();
        graph->createStore(x, tv)->insertBefore(true_block->return_node());
      } else if (false_exits) {
        fv = graph->createUninitialized(tv->type())

            

Reported by Cppcheck.

                               ->output();
        graph->createStore(x, tv)->insertBefore(true_block->return_node());
      } else if (false_exits) {
        fv = graph->createUninitialized(tv->type())
                 ->insertBefore(false_block->return_node())
                 ->output();
        graph->createStore(x, fv)->insertBefore(false_block->return_node());
      }


            

Reported by Cppcheck.

                      graph->createStore(x, fv)->insertBefore(false_block->return_node());
      }

      auto unified = unifyTypes(tv->type(), fv->type());

      // attempt to unify the types. we allow variables to be set to different
      // types in each branch as long as that variable is not already in scope,
      // or if that variable does not get used later. here, we save the error
      // so that the error message will be more informative in the case that is

            

Reported by Cppcheck.

                      graph->createStore(x, fv)->insertBefore(false_block->return_node());
      }

      auto unified = unifyTypes(tv->type(), fv->type());

      // attempt to unify the types. we allow variables to be set to different
      // types in each branch as long as that variable is not already in scope,
      // or if that variable does not get used later. here, we save the error
      // so that the error message will be more informative in the case that is

            

Reported by Cppcheck.

              from torch import nn

# Parametrizations
class FakeSparsity(nn.Module):
    r"""Parametrization for the weights. Should be attached to the 'weight' or
    any other parmeter that requires a mask applied to it.

    Note::


            

Reported by Pylint.

                      super().__init__()
        self.register_buffer('mask', mask)

    def forward(self, x):
        assert self.mask.shape == x.shape
        return self.mask * x

            

Reported by Pylint.

                      super().__init__()
        self.register_buffer('mask', mask)

    def forward(self, x):
        assert self.mask.shape == x.shape
        return self.mask * x

            

Reported by Pylint.

                      self.register_buffer('mask', mask)

    def forward(self, x):
        assert self.mask.shape == x.shape
        return self.mask * x

            

Reported by Bandit.

              # dependency for torch package

def a_non_torch_leaf(a: int, b):
    return a * b

            

Reported by Pylint.

              # dependency for torch package

def a_non_torch_leaf(a: int, b):
    return a * b

            

Reported by Pylint.

              # dependency for torch package

def a_non_torch_leaf(a: int, b):
    return a * b

            

Reported by Pylint.

              # dependency for torch package

def a_non_torch_leaf(a: int, b):
    return a * b

            

Reported by Pylint.

                _(spwd)                  \
  _(_ssl)                  \
  _(_struct)               \
  _(syslog)                \
  _(termios)               \
  _(_testbuffer)           \
  _(_testcapi)             \
  _(_testimportmultiple)   \
  _(_testmultiphase)       \

            

Reported by FlawFinder.

                }

  /* Copy the tables into the new memory */
  memcpy(p, PyImport_FrozenModules, (c + 1) * sizeof(struct _frozen));
  memcpy(p + c, frozenpython, (a + 1) * sizeof(struct _frozen));
  memcpy(p + a + c, frozentorch, (b + 1) * sizeof(struct _frozen));
  PyImport_FrozenModules = p;
  return res;
}

            

Reported by FlawFinder.

              
  /* Copy the tables into the new memory */
  memcpy(p, PyImport_FrozenModules, (c + 1) * sizeof(struct _frozen));
  memcpy(p + c, frozenpython, (a + 1) * sizeof(struct _frozen));
  memcpy(p + a + c, frozentorch, (b + 1) * sizeof(struct _frozen));
  PyImport_FrozenModules = p;
  return res;
}


            

Reported by FlawFinder.

                /* Copy the tables into the new memory */
  memcpy(p, PyImport_FrozenModules, (c + 1) * sizeof(struct _frozen));
  memcpy(p + c, frozenpython, (a + 1) * sizeof(struct _frozen));
  memcpy(p + a + c, frozentorch, (b + 1) * sizeof(struct _frozen));
  PyImport_FrozenModules = p;
  return res;
}

static py::object global_impl(const char* module, const char* name) {

            

Reported by FlawFinder.

              template <typename T>
T not_implemented_base(const char* name, const char* reason) {
  std::string msg = c10::str("the derivative for '", name, "' is not implemented.");
  if (strlen(reason) > 0) {
    msg = c10::str(msg, " ", reason);
  };
  TORCH_CHECK_NOT_IMPLEMENTED(false, msg);
}


            

Reported by FlawFinder.

              }

Tensor pow_backward(Tensor grad, const Tensor & self, const Scalar & exponent) {
  if (exponent.equal(0.0)) {
    return at::zeros_like(self, LEGACY_CONTIGUOUS_MEMORY_FORMAT);
  } else {
    auto grad_lambda = [&](auto exp) { return grad * (exp * self.pow(exp - 1)).conj(); };
    Tensor out = (exponent.isComplex()) ? grad_lambda(exponent.toComplexDouble()) : grad_lambda(exponent.toDouble());
    return handle_r_to_c(self, out);

            

Reported by FlawFinder.

              
Tensor pow_backward_exponent(Tensor grad, const Scalar & base, const Tensor& exponent, Tensor result) {
  auto grad_lambda = [](Tensor a, Scalar b) { return (a * b.log()).conj(); };
  if (base.equal(0.0)) {
    auto cond = [](auto exp) {
      if (exp.is_complex()) {
        return at::logical_and(at::imag(exp) == 0, at::real(exp) >= 0);
      } else {
        return exp >=0;

            

Reported by FlawFinder.

              from tools.codegen.model import NativeFunctionsGroup

# Follows dispatcher calling convention, but:
#   - Mutable arguments not allowed.  Meta functions are always
#     written in functional form.  Look at FunctionSchema.signature()
#   - No tensor returns; instead we return a TensorMeta describing
#     the tensor in question

def name(g: NativeFunctionsGroup) -> str:

            

Reported by Pylint.

              #   - No tensor returns; instead we return a TensorMeta describing
#     the tensor in question

def name(g: NativeFunctionsGroup) -> str:
    # use the overload name from the functional version
    return str(g.functional.func.name).replace('.', '_')

            

Reported by Pylint.

              #   - No tensor returns; instead we return a TensorMeta describing
#     the tensor in question

def name(g: NativeFunctionsGroup) -> str:
    # use the overload name from the functional version
    return str(g.functional.func.name).replace('.', '_')

            

Reported by Pylint.