* Extracts geo.{field}.point and geo.{field}.distance parameters to create
     * geo-distance queries for each configured geographic field.
     *
     * @param request the HTTP servlet request containing geographic parameters
     * @throws InvalidQueryException if geo point format is invalid or parsing fails
     */
    public GeoInfo(final HttpServletRequest request) {

	// 31.13.14: Vector Floating-Point Classify Instruction
	VFCLASSV	V2, V3				// d711284e
	VFCLASSV	V2, V0, V3			// d711284c

	// 31.13.15: Vector Floating-Point Merge Instruction
	VFMERGEVFM	F10, V2, V0, V3			// d751255c

	// 31.13.16: Vector Floating-Point Move Instruction
	VFMVVF		F10, V3				// d751055e

	// 31.13.17: Single-Width Floating-Point/Integer Type-Convert Instructions

                    if (entry.equals(v)) { // unless it's an entry point.
                        // currently processing the entry point - it should not have any entry incident edges
                        res.getEntry().getMd().setWhy("This is a graph entry point. No links.");
                    }
                } else {
                    // fill in domain md with actual version data

     * @param tc the CIFS context containing credentials
     * @throws CIFSException if an error occurs during authentication
     * @deprecated functionality is broken and will be removed at some point,
     *             use actual Active Directory authentication instead
     */
    @Deprecated
    void logon(CIFSContext tc, Address dc) throws CIFSException;

    /**

        // Then
        assertEquals(appendedReferral, initialReferral.next,
                "The 'next' property of the initial referral should point to the appended referral.");
        assertEquals(initialReferral, appendedReferral.next,
                "The 'next' property of the appended referral should point back to the initial referral, closing the loop.");
    }

    /**
     * Tests the toString method of the DfsReferral class.

</p>

<pre>
[...]Point{{1.5, -3.5}, {0, 0}}     // same as [...]Point{Point{1.5, -3.5}, Point{0, 0}}
[][]int{{1, 2, 3}, {4, 5}}          // same as [][]int{[]int{1, 2, 3}, []int{4, 5}}
[][]Point{{{0, 1}, {1, 2}}}         // same as [][]Point{[]Point{Point{0, 1}, Point{1, 2}}}
map[string]Point{"orig": {0, 0}}    // same as map[string]Point{"orig": Point{0, 0}}

	tx := DB.Begin()

	user := *GetUser("transaction-save-point", Config{})
	tx.Create(&user)

	if err := tx.First(&User{}, "name = ?", user.Name).Error; err != nil {
		t.Fatalf("Should find saved record")
	}

	if err := tx.SavePoint("save_point1").Error; err != nil {
		t.Fatalf("Failed to save point, got error %v", err)
	}

	user1 := *GetUser("transaction-save-point-1", Config{})
	tx.Create(&user1)

      return LinearTransformation.vertical(xStats.mean());
    }
  }

  /**
   * {@inheritDoc}
   *
   * <p><b>Note:</b> This tests exact equality of the calculated statistics, including the floating
   * point values. Two instances are guaranteed to be considered equal if one is copied from the
   * other using {@code second = new PairedStatsAccumulator().addAll(first).snapshot()}, if both

filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
      * For TF-GPU - See point 1
      * For TF-CPU - See point 2
   -----------------------------------------------------------------------------------------------
   
   **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries**
   
   

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