//// tab | Windows PowerShell

<div class="termy">

```console
$ Get-Command python

C:\Users\user\code\awesome-project\.venv\Scripts\python
```

</div>

////

Это означает, что будет использоваться программа `python` **из виртуального окружения**.

На Linux и macOS используется `which`, а в Windows PowerShell — `Get-Command`.

package grid

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[handlerInvalid-0]
	_ = x[HandlerLockLock-1]
	_ = x[HandlerLockRLock-2]
	_ = x[HandlerLockUnlock-3]
	_ = x[HandlerLockRUnlock-4]
	_ = x[HandlerLockRefresh-5]

#
# This file is autogenerated by pip-compile with Python 3.14
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.3.0 \
    --hash=sha256:9824a48b654a306168f63e0d97714665f8490b8d89ec7bf2efc24bf67cf579b3 \
    --hash=sha256:d96fda5c884f1b22178852f30ffa85766d50b99e00775ea626c23304f582fc4f
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

# All required CUDA packages
cuda-compat-12-8
cuda-command-line-tools-12-8
cuda-cudart-dev-12-8
cuda-nvcc-12-8
cuda-cupti-12-8
cuda-nvprune-12-8
cuda-libraries-12-8
cuda-libraries-dev-12-8
cuda-nvml-dev-12-8
libcufft-12-8
libcurand-12-8
libcusolver-dev-12-8
libcusparse-dev-12-8
libcublas-12-8
libcublas-dev-12-8
libnccl-dev=2.25.1-1+cuda12.8
libnccl2=2.25.1-1+cuda12.8

# All required CUDA packages
cuda-compat-13-0
cuda-command-line-tools-13-0
cuda-cudart-dev-13-0
cuda-nvcc-13-0
cuda-cupti-13-0
cuda-nvprune-13-0
cuda-libraries-13-0
cuda-libraries-dev-13-0
cuda-nvml-dev-13-0
libcufft-13-0
libcurand-13-0
libcusolver-dev-13-0
libcusparse-dev-13-0
libcublas-13-0
libcublas-dev-13-0
libnccl-dev=2.27.7-1+cuda13.0
libnccl2=2.27.7-1+cuda13.0

# All required CUDA packages
cuda-compat-12-1
cuda-command-line-tools-12-1
cuda-cudart-dev-12-1
cuda-nvcc-12-1
cuda-cupti-12-1
cuda-nvprune-12-1
cuda-libraries-12-1
cuda-libraries-dev-12-1
cuda-nvml-dev-12-1
libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1

# All required CUDA packages
cuda-compat-12-3
cuda-command-line-tools-12-3
cuda-cudart-dev-12-3
cuda-nvcc-12-3
cuda-cupti-12-3
cuda-nvprune-12-3
cuda-libraries-12-3
cuda-libraries-dev-12-3
cuda-nvml-dev-12-3
libcufft-12-3
libcurand-12-3
libcusolver-dev-12-3
libcusparse-dev-12-3
libcublas-12-3
libcublas-dev-12-3
libnccl-dev=2.19.3-1+cuda12.3
libnccl2=2.19.3-1+cuda12.3

# On Linux, tell the linker (-Wl,<option>) to use a version script that
# excludes all but a subset of function names.
# On MacOS, the linker does not support version_script, but has an
# an "-exported_symbols_list" command.  -z defs disallows undefined
# symbols in object files.

pywrap_aware_tf_cc_shared_object(
    name = "tensorflow",
    linkopts = select({
        "//tensorflow:macos": [

	}
	if err := os.WriteFile(filepath.Join(appdir, "ResourceRules.plist"), []byte(resourceRules), 0744); err != nil {
		return err
	}
	return nil
}

func installSimulator(appdir string) error {
	cmd := exec.Command(
		"xcrun", "simctl", "install",
		"booted", // Install to the booted simulator.
		appdir,
	)
	if out, err := cmd.CombinedOutput(); err != nil {
		os.Stderr.Write(out)

# Settings and configurations that are common for all containers
x-minio-common: &minio-common
  image: minio/minio:${MINIO_VERSION}
  command: server http://minio{1...4}/data{1...3}
  env_file:
    - ./minio.env
  expose:
    - "9000"
    - "9001"

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common