displaySize = new BigDecimal(size.divide(ONE_TB_BI)).divide(BigDecimal.valueOf(1000)) + "PB";
        } else if (size.divide(ONE_TB_BI).compareTo(BigInteger.ZERO) > 0) {
            displaySize = new BigDecimal(size.divide(ONE_GB_BI)).divide(BigDecimal.valueOf(1000)) + "TB";
        } else if (size.divide(ONE_GB_BI).compareTo(BigInteger.ZERO) > 0) {

six==1.16.0 \
    --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
    --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
    # via
    #   astunparse
    #   tb-nightly
tb-nightly==2.17.0a20240214 \
    --hash=sha256:dbd59bcfd9b028e6199050e36cbb4ee1db4a94e69a7f8c00865f1498112a2b83
    # via -r requirements.in
tblib==2.0.0 \

        "--allow-unsafe",
        "-P keras-nightly",
        "-P tb-nightly",
    ],
    requirements_in = "requirements.in",
    requirements_txt = "requirements_lock_3_9.txt",
)

compile_pip_requirements_3_10(
    name = "requirements_3_10_release",
    extra_args = [
        "--allow-unsafe",
        "-P keras-nightly",
        "-P tb-nightly",
    ],
    requirements_in = "requirements.in",

six==1.16.0 \
    --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
    --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
    # via
    #   astunparse
    #   tb-nightly
tb-nightly==2.17.0a20240214 \
    --hash=sha256:dbd59bcfd9b028e6199050e36cbb4ee1db4a94e69a7f8c00865f1498112a2b83
    # via -r requirements.in
tblib==2.0.0 \

six==1.16.0 \
    --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
    --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
    # via
    #   astunparse
    #   tb-nightly
tb-nightly==2.17.0a20240214 \
    --hash=sha256:dbd59bcfd9b028e6199050e36cbb4ee1db4a94e69a7f8c00865f1498112a2b83
    # via -r requirements.in
tblib==2.0.0 \

six==1.16.0 \
    --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
    --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
    # via
    #   astunparse
    #   tb-nightly
tb-nightly==2.17.0a20240214 \
    --hash=sha256:dbd59bcfd9b028e6199050e36cbb4ee1db4a94e69a7f8c00865f1498112a2b83
    # via -r requirements.in
tblib==2.0.0 \

# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.17.0.a

# Test dependencies
grpcio >= 1.24.3, < 2.0
portpicker == 1.6.0
scipy == 1.11.3
requests == 2.31.0
packaging==23.2
setuptools==68.2.2

* Вызове вашей зависимости ("зависимого") функции с корректными параметрами.
* Получении результата из вашей функции.
* Назначении результата в параметр в вашей *функции обработки пути*.

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```

        assertEquals("953.674GB", MemoryUtil.byteCountToDisplaySize(1000_000_000_000L));
        assertEquals("1.024TB", MemoryUtil.byteCountToDisplaySize(FileUtils.ONE_TB));
        assertEquals("931.322TB", MemoryUtil.byteCountToDisplaySize(999_999_999_999_999L));
        assertEquals("931.322TB", MemoryUtil.byteCountToDisplaySize(1000_000_000_000_000L));

* Sich das Ergebnis von dieser Funktion zu holen.
* Dieses Ergebnis dem Parameter Ihrer *Pfadoperation-Funktion* zuzuweisen.

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```