* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;

import com.google.common.annotations.GwtCompatible;

```

/// tip

🏗 🔢 👈 🕴 💡 🔗 ⏮️ 💽 (🤚 👩‍💻 ⚖️ 🏬) 🔬 👆 *➡ 🛠️ 🔢*, 👆 💪 🌖 💪 ♻ 👫 💗 🍕 &amp; 🚮 <abbr title="Automated tests, written in code, that check if another piece of code is working correctly.">⚒ 💯</abbr> 👫.

///

### ✍ 💽

🔜 ✍ 🚙 🔢 ✍ 💽.

🔁:

* ✍ 🇸🇲 🏷 *👐* ⏮️ 👆 📊.
* `add` 👈 👐 🎚 👆 💽 🎉.
* `commit` 🔀 💽 (👈 👫 🖊).

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.collect;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.collect.CollectPreconditions.checkRemove;
import static java.lang.Math.min;

import com.google.common.annotations.GwtIncompatible;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.collect.testing.Helpers;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;

//
// Note that outputs of discarded ops remain in a corrupt state and should not
// be used for future calls.
// TODO(agarwal): mark the affected handles and raise errors if they are used.
TF_CAPI_EXPORT extern void TFE_ExecutorClearError(TFE_Executor*);

// Sets a custom Executor for the current thread. All nodes created by this
// thread will be added to this Executor. It will override the current executor.

A parte mais importante é que quando você chama ``python`, esse é exatamente o "`python`" que será executado.

Assim, você pode confirmar se está no ambiente virtual correto.

/// tip | "Dica"

É fácil ativar um ambiente virtual, obter um Python e então **ir para outro projeto**.

      "type": "timeseries"
    }
  ],
  "refresh": "",
  "schemaVersion": 39,
  "tags": [
    "minio"
  ],
  "templating": {
    "list": [
      {
        "current": {
          "selected": false,
          "text": "All",
          "value": "$__all"
        },
        "datasource": {
          "type": "prometheus",
          "uid": "${DS_PROMETHEUS}"

 *       com.google.common.primitives.Ints#stringConverter Ints.stringConverter} or the {@linkplain
 *       #reverse reverse} views of these.
 *   <li>Convert between specific preset values using {@link
 *       com.google.common.collect.Maps#asConverter Maps.asConverter}. For example, use this to
 *       create a "fake" converter for a unit test. It is unnecessary (and confusing) to <i>mock</i>
 *       the {@code Converter} type using a mocking framework.

So, you would run **multiple containers** with different things, like a database, a Python application, a web server with a React frontend application, and connect them together via their internal network.

All the container management systems (like Docker or Kubernetes) have these networking features integrated into them.

## Containers and Processes

      }
    }
    return false;
  }

  /**
   * Returns a value a fraction {@code (remainder / scale)} of the way between {@code lower} and
   * {@code upper}. Assumes that {@code lower <= upper}. Correctly handles infinities (but not
   * {@code NaN}).
   */
  private static double interpolate(double lower, double upper, double remainder, double scale) {
    if (lower == NEGATIVE_INFINITY) {