# include <bits/stdc++.h>
using namespace std;
const int MAX = 1001;
int V;
int row, col;
int A[MAX][MAX];
int row_type[MAX], col_type[MAX];
void Ask(int x, int y) {
if (A[x][y]) {
return;
}
printf("1 %d %d\n", x, y);
fflush(stdout);
scanf("%d", &A[x][y]);
if (A[x][y] == V) {
// Solution found.
printf("2 %d %d\n", x, y);
exit(0);
}
}
void SolveSubRectangle(int i1, int j1, int i2, int j2) {
// The sub-rectangle has a special property. All rows are either increasing
// or decreasing. Similarly, all columns are increasing or decreasing. For
// details see the fucntions which call them and see the condition when it
// was called.
// Using the above property, ask atmost "n" questions to find if "V" exists
// in this sub-rectangle.
// The general strategy is to always ask the value present at almost
// greatest cell. This almost greatest cell should have the property that we
// can either eliminate a complete row or column after looking at this value.
// This will help us perform atmost "n" queries. For details, refer to the
// explanation of first case below. Others follow similarly. We know that
// the its index as the sorting order of rows and columns is known. If that
// value is less than "V", we either increase/decrease only row or column
// index or we increase/decrease both the index of row and column. If at any
// moment the indices are out of bounds of the subrectangle we exit.
int i, j;
if (row_type[i1] == 1) {
if (col_type[j2] == 1) {
// All rows and columns are increasing.
// We start with cell (i1, j2). If this cell is greater than "V",
// then we need to go to previous column as rows are increasing.
// If this value was smaller we must go to next row as columns are
// increasing. We should also try to increase the column index if
// possible as it will help us eliminate that full column or row in
// next iteration.
i = i1; j = j2;
while (i <= i2) {
Ask(i, j);
if (V < A[i][j]) {
if (--j < j1) return;
} else {
if (j < j2) j++;
if (++i > i2) return;
}
}
} else {
// All rows are increasing and columns are decreasing.
i = i2; j = j2;
while (i >= i1) {
Ask(i, j);
if (V < A[i][j]) {
if (--j < j1) return;
} else {
if (j < j2) j++;
if (--i < i1) return;
}
}
}
} else {
if (col_type[j2] == 1) {
// All rows are increasing and columns are decreasing.
i = i1; j = j1;
while (i <= i2) {
Ask(i, j);
if (V < A[i][j]) {
if (++j > j2) return;
} else {
if (j > j1) j--;
if (++i > i2) return;
}
}
} else {
// All rows and columns are decreasing.
i = i2; j = j1;
while (i >= i1) {
Ask(i, j);
if (V < A[i][j]) {
if (++j > j2) return;
} else {
if (j > j1) j--;
if (--i < i1) return;
}
}
}
}
}
void Resi2x2AA(int n, int i1, int j1) {
// Find subrectangles to ignore and what to query for solution.
// Refer to editorial images for how to ignore subrectangles.
int i, j;
int can[2][2] = {{1,1},{1,1}};
if (V > A[i1-1][j1-1]) {
can[0][0] = 0;
} else {
can[0][1] = can[1][0] = 0;
}
if (V > A[i1][j1]) {
can[1][1] = 0;
} else {
can[0][1] = can[1][0] = 0;
}
if (can[0][0]) {
SolveSubRectangle(1, 1, i1-1, j1-1);
}
if (can[0][1]) {
SolveSubRectangle(1, j1, i1-1, n);
}
if (can[1][0]) {
SolveSubRectangle(i1, 1, n, j1-1);
}
if (can[1][1]) {
SolveSubRectangle(i1, j1, n, n);
}
}
void Resi2x2BB(int n, int i1, int j1) {
// Find subrectangles to ignore and what to query for solution.
// Refer to editorial images for how to ignore subrectangles.
int i, j;
int can[2][2] = {{1,1},{1,1}};
if (V < A[i1-1][j1-1]) {
can[0][0] = 0;
} else {
can[0][1] = can[1][0] = 0;
}
if (V < A[i1][j1]) {
can[1][1] = 0;
} else {
can[0][1] = can[1][0] = 0;
}
if (can[0][0]) {
SolveSubRectangle(1, 1, i1-1, j1-1);
}
if (can[0][1]) {
SolveSubRectangle(1, j1, i1-1, n);
}
if (can[1][0]) {
SolveSubRectangle(i1, 1, n, j1-1);
}
if (can[1][1]) {
SolveSubRectangle(i1, j1, n, n);
}
}
void Resi2x2(int n) {
// Find the value at the 4 most important points i.e where rows and
// columns change their type.
int i, j, i1, j1, i2, j2;
i1 = 1; j1 = 1;
while (row_type[i1] == row_type[1]) i1++;
while (col_type[j1] == col_type[1]) j1++;
// Rows partition: [1, i1-1] and [i1, n]
// Columns partition: [1, j1-1] and [j1, n]
for(int x=i1; x<=n; ++x) {
assert(row_type[i1] == row_type[x]);
}
for(int y=j1; y<=n; ++y) {
assert(col_type[j1] == col_type[y]);
}
Ask(i1-1, j1-1);
Ask(i1-1, j1);
Ask(i1, j1-1);
Ask(i1, j1);
if ((row_type[1] == 1) && (col_type[1] == 1)) {
Resi2x2AA(n, i1, j1);
}
if ((row_type[1] == -1) && (col_type[1] == -1)) {
Resi2x2BB(n, i1, j1);
}
}
void SolveColumn(int n) {
// Ask atmost "n" queries to identify which sub-rectangle is a possible
// candidate to contain "V".
// Worst case: rows are alternating increasing and decreasing or vice-versa.
int found = 0;
int i, j, i1, i2;
i2 = 1;
while (i2 <= n) {
i1 = i2;
while ((i2 <= n) && (row_type[i2] == row_type[i1])) i2++;
// All rows from [i1, i2-1] are either inncreasing or decreasing.
// Based on whether rows are increasing or decreasing, select the column
// which will have the maximum element for every row. It can be
// either row "1" or "n". If for that column and row range, the
// numbers have "V" in their range, we have found a valid sub-rectangle
// which is the possible candidate to contain "V". Note that since we
// are iterating over rows in increasing order and not doing a binary
// search. So, if the previous rows were ignored, it means their value
// was either less or greater than "V". So, only the other condition is
// required to be checked.
if (col_type[1] == 1) {
// All columns are increasing.
if (row_type[i1] == -1) {
// Current set of rows are decreasing.
Ask(i2-1, 1);
if (V <= A[i2-1][1]) {
found = 1; break;
}
} else {
// Current set of rows are increasing.
Ask(i2-1, n);
if (V <= A[i2-1][n]) {
found = 1; break;
}
}
} else {
// All columns are decreasing.
if (row_type[i1] == -1) {
// Current set of rows are decreasing.
Ask(i2-1, n);
if (V >= A[i2-1][n]) {
found = 1; break;
}
} else {
// Current set of rows are increasing.
Ask(i2-1, 1);
if (V >= A[i2-1][1]) {
found = 1; break;
}
}
}
}
if (found) {
// "i2" is decremented as the valid range was [i1, i2-1] as explained
// before.
i2--;
SolveSubRectangle(i1, 1, i2, n);
}
}
void SolveRow(int n) {
// Ask atmost "n" queries to identify which sub-rectangle is a possible
// candidate to contain "V".
// Worst case: columns are alternating increasing or decreasing or
// vice-versa.
int found = 0;
int i, j, j1, j2;
j2 = 1;
while (j2 <= n) {
j1 = j2;
while ((j2 <= n) && (col_type[j2] == col_type[j1])) j2++;
// All columns are [j1, j2-1] are either increasing or decreasing.
// Based on whether columns are increasing or decreasing, select the row
// which will have the maximum element for every column. It can be
// either column "1" or "n". If for that row and column range, the
// numbers have "V" in their range, we have found a valid sub-rectangle
// which is the possible candidate to contain "V". Note that since we
// are iterating over columns in increasing order and not doing a binary
// search. So, if the previous columns were ignored, it means their value
// was either less or greater than "V". So, only the other condition is
// required to be checked.
if (row_type[1] == 1) {
// All rows are increasing.
if (col_type[j1] == -1) {
// Current set of columns are decreasing.
Ask(1, j2-1);
if (V <= A[1][j2-1]) {
found = 1; break;
}
} else {
// Current set of columns are increasing.
Ask(n, j2-1);
if (V <= A[n][j2-1]) {
found = 1; break;
}
}
} else {
// All rows are decreasing.
if (col_type[j1] == -1) {
// Current set of columns are decreasing.
Ask(n, j2-1);
if (V >= A[n][j2-1]) {
found = 1; break;
}
} else {
// Current set of columns are increasing.
Ask(1, j2-1);
if (V >= A[1][j2-1]) {
found = 1; break;
}
}
}
}
if (found) {
// "j2" is decremented as the valid range was [j1, j2-1] as explained
// before.
j2--;
SolveSubRectangle(1, j1, n, j2);
}
}
void Solve(int n, int k) {
// Ask "2n" queries to identify type of every row and column.
// Use help of diagonal element and its neighbour.
Ask(1, 1);
Ask(1, 2);
if (A[1][1] < A[1][2]) row_type[1] = 1; else row_type[1] = -1;
for (int i = 2; i < n; i++) {
Ask(i, i);
Ask(i, i+1);
if (A[i][i] < A[i][i+1]) row_type[i] = 1; else row_type[i] = -1;
if (A[i-1][i] < A[i][i]) col_type[i] = 1; else col_type[i] = -1;
}
Ask(n, n);
Ask(n, 1);
if (A[n][1] < A[n][n]) row_type[n] = 1; else row_type[n] = -1;
if (A[1][1] < A[n][1]) col_type[1] = 1; else col_type[1] = -1;
if (A[n-1][n] < A[n][n]) col_type[n] = 1; else col_type[n] = -1;
row = col = 0;
for (int i = 2; i <= n; i++) {
if (row_type[i-1] != row_type[i]) row++;
if (col_type[i-1] != col_type[i]) col++;
}
if (row == 0) {
// All rows are increasing or decreasing.
SolveRow(n);
} else if (col == 0) {
// All columns are increasing or decreasing.
SolveColumn(n);
} else {
// Initial set of rows are of one type and rest of another type.
// Initial set of columns are one type and rest of another type.
assert(row == 1);
assert(col == 1);
Resi2x2(n);
}
}
int main() {
int n, k;
scanf("%d%d%d",&n, &k, &V);
Solve(n,k);
printf("2 -1 -1\n");
fflush(stdout);
return 0;
}
# include <bits/stdc++.h>
using namespace std;

const int MAX = 1001;

int V;
int row, col;
int A[MAX][MAX];
int row_type[MAX], col_type[MAX];

void Ask(int x, int y) {
	if (A[x][y]) {
		return;
	}
	printf("1 %d %d\n", x, y);
	fflush(stdout);
	scanf("%d", &A[x][y]);
	if (A[x][y] == V) {
		// Solution found.
		printf("2 %d %d\n", x, y);
		exit(0);
	}
}

void SolveSubRectangle(int i1, int j1, int i2, int j2) {
	// The sub-rectangle has a special property. All rows are either increasing
	// or decreasing. Similarly, all columns are increasing or decreasing. For
	// details see the fucntions which call them and see the condition when it
	// was called.
	// Using the above property, ask atmost "n" questions to find if "V" exists
	// in this sub-rectangle.
	// The general strategy is to always ask the value present at almost
	// greatest cell. This almost greatest cell should have the property that we
	// can either eliminate a complete row or column after looking at this value.
	// This will help us perform atmost "n" queries. For details, refer to the
	// explanation of first case below. Others follow similarly. We know that
	// the its index as the sorting order of rows and columns is known. If that
	// value is less than "V", we either increase/decrease only row or column
	// index or we increase/decrease both the index of row and column. If at any
	// moment the indices are out of bounds of the subrectangle we exit.
	int i, j;
	if (row_type[i1] == 1) {
		if (col_type[j2] == 1) {
			// All rows and columns are increasing.
			// We start with cell (i1, j2). If this cell is greater than "V",
			// then we need to go to previous column as rows are increasing.
			// If this value was smaller we must go to next row as columns are
			// increasing. We should also try to increase the column index if
			// possible as it will help us eliminate that full column or row in
			// next iteration.
			i = i1; j = j2;
			while (i <= i2) {
				Ask(i, j);
				if (V < A[i][j]) {
					if (--j < j1) return;
				} else {
					if (j < j2) j++;
					if (++i > i2) return;
				}
			}
		} else {
			// All rows are increasing and columns are decreasing.
			i = i2; j = j2;
			while (i >= i1) {
				Ask(i, j);
				if (V < A[i][j]) {
					if (--j < j1) return;
				} else {
					if (j < j2) j++;
					if (--i < i1) return;
				}
			}
		}
	} else {
		if (col_type[j2] == 1) {
			// All rows are increasing and columns are decreasing.
			i = i1; j = j1;
			while (i <= i2) {
				Ask(i, j);
				if (V < A[i][j]) {
					if (++j > j2) return;
				} else {
					if (j > j1) j--;
					if (++i > i2) return;
				}
			}
		} else {
			// All rows and columns are decreasing.
			i = i2; j = j1;
			while (i >= i1) {
				Ask(i, j);
				if (V < A[i][j]) {
					if (++j > j2) return;
				} else {
					if (j > j1) j--;
					if (--i < i1) return;
				}
			}
		}
	}
}

void Resi2x2AA(int n, int i1, int j1) {
	// Find subrectangles to ignore and what to query for solution.
	// Refer to editorial images for how to ignore subrectangles.
	int i, j;
	int can[2][2] = {{1,1},{1,1}};
	if (V > A[i1-1][j1-1]) {
		can[0][0] = 0;
	} else {
		can[0][1] = can[1][0] = 0;
	}
	if (V > A[i1][j1]) {
		can[1][1] = 0;
	} else {
		can[0][1] = can[1][0] = 0;
	}
	if (can[0][0]) {
		SolveSubRectangle(1, 1, i1-1, j1-1);
	}
	if (can[0][1]) {
		SolveSubRectangle(1, j1, i1-1, n);
	}
	if (can[1][0]) {
		SolveSubRectangle(i1, 1, n, j1-1);
	}
	if (can[1][1]) {
		SolveSubRectangle(i1, j1, n, n);
	}
}


void Resi2x2BB(int n, int i1, int j1) {
	// Find subrectangles to ignore and what to query for solution.
	// Refer to editorial images for how to ignore subrectangles.
	int i, j;
	int can[2][2] = {{1,1},{1,1}};
	if (V < A[i1-1][j1-1]) {
		can[0][0] = 0;
	} else {
		can[0][1] = can[1][0] = 0;
	}
	if (V < A[i1][j1]) {
		can[1][1] = 0;
	} else {
		can[0][1] = can[1][0] = 0;
	}
	if (can[0][0]) {
		SolveSubRectangle(1, 1, i1-1, j1-1);
	}
	if (can[0][1]) {
		SolveSubRectangle(1, j1, i1-1, n);
	}
	if (can[1][0]) {
		SolveSubRectangle(i1, 1, n, j1-1);
	}
	if (can[1][1]) {
		SolveSubRectangle(i1, j1, n, n);
	}
}

void Resi2x2(int n) {
	// Find the value at the 4 most important points i.e where rows and
	// columns change their type.
	int i, j, i1, j1, i2, j2;
	i1 = 1; j1 = 1;
	while (row_type[i1] == row_type[1]) i1++;
	while (col_type[j1] == col_type[1]) j1++;
	// Rows partition: [1, i1-1] and [i1, n]
	// Columns partition: [1, j1-1] and [j1, n]
	for(int x=i1; x<=n; ++x) {
		assert(row_type[i1] == row_type[x]);
	}
	for(int y=j1; y<=n; ++y) {
		assert(col_type[j1] == col_type[y]);
	}
	Ask(i1-1, j1-1);
	Ask(i1-1, j1);
	Ask(i1, j1-1);
	Ask(i1, j1);
	if ((row_type[1] == 1) && (col_type[1] == 1)) {
		Resi2x2AA(n, i1, j1);
	}
	if ((row_type[1] == -1) && (col_type[1] == -1)) {
		Resi2x2BB(n, i1, j1);
	}
}

void SolveColumn(int n) {
	// Ask atmost "n" queries to identify which sub-rectangle is a possible
	// candidate to contain "V".
	// Worst case: rows are alternating increasing and decreasing or vice-versa.
	int found = 0;
	int i, j, i1, i2;
	i2 = 1;
	while (i2 <= n) {
		i1 = i2;
		while ((i2 <= n) && (row_type[i2] == row_type[i1])) i2++;
		// All rows from [i1, i2-1] are either inncreasing or decreasing.
		// Based on whether rows are increasing or decreasing, select the column
		// which will have the maximum element for every row. It can be
		// either row "1" or "n". If for that column and row range, the
		// numbers have "V" in their range, we have found a valid sub-rectangle
		// which is the possible candidate to contain "V". Note that since we
		// are iterating over rows in increasing order and not doing a binary
		// search. So, if the previous rows were ignored, it means their value
		// was either less or greater than "V". So, only the other condition is
		// required to be checked.
		if (col_type[1] == 1) {
			// All columns are increasing.
			if (row_type[i1] == -1) {
				// Current set of rows are decreasing.
				Ask(i2-1, 1);
				if (V <= A[i2-1][1]) {
					found = 1; break;
				}
			} else {
				// Current set of rows are increasing.
				Ask(i2-1, n);
				if (V <= A[i2-1][n]) {
					found = 1; break;
				}
			}
		} else {
			// All columns are decreasing.
			if (row_type[i1] == -1) {
				// Current set of rows are decreasing.
				Ask(i2-1, n);
				if (V >= A[i2-1][n]) {
					found = 1; break;
				}
			} else {
				// Current set of rows are increasing.
				Ask(i2-1, 1);
				if (V >= A[i2-1][1]) {
					found = 1; break;
				}
			}
		}
	}
	if (found) {
		// "i2" is decremented as the valid range was [i1, i2-1] as explained
		// before.
		i2--;
		SolveSubRectangle(i1, 1, i2, n);
	}
}

void SolveRow(int n) {
	// Ask atmost "n" queries to identify which sub-rectangle is a possible
	// candidate to contain "V".
	// Worst case: columns are alternating increasing or decreasing or
	// vice-versa.
	int found = 0;
	int i, j, j1, j2;
	j2 = 1;
	while (j2 <= n) {
		j1 = j2;
		while ((j2 <= n) && (col_type[j2] == col_type[j1])) j2++;
		// All columns are [j1, j2-1] are either increasing or decreasing.
		// Based on whether columns are increasing or decreasing, select the row
		// which will have the maximum element for every column. It can be
		// either column "1" or "n". If for that row and column range, the
		// numbers have "V" in their range, we have found a valid sub-rectangle
		// which is the possible candidate to contain "V". Note that since we
		// are iterating over columns in increasing order and not doing a binary
		// search. So, if the previous columns were ignored, it means their value
		// was either less or greater than "V". So, only the other condition is
		// required to be checked.
		if (row_type[1] == 1) {
			// All rows are increasing.
			if (col_type[j1] == -1) {
				// Current set of columns are decreasing.
				Ask(1, j2-1);
				if (V <= A[1][j2-1]) {
					found = 1; break;
				}
			} else {
				// Current set of columns are increasing.
				Ask(n, j2-1);
				if (V <= A[n][j2-1]) {
					found = 1; break;
				}
			}
		} else {
			// All rows are decreasing.
			if (col_type[j1] == -1) {
				// Current set of columns are decreasing.
				Ask(n, j2-1);
				if (V >= A[n][j2-1]) {
					found = 1; break;
				}
			} else {
				// Current set of columns are increasing.
				Ask(1, j2-1);
				if (V >= A[1][j2-1]) {
					found = 1; break;
				}
			}
		}
	}
	if (found) {
		// "j2" is decremented as the valid range was [j1, j2-1] as explained
		// before.
		j2--;
		SolveSubRectangle(1, j1, n, j2);
	}
}


void Solve(int n, int k) {
	// Ask "2n" queries to identify type of every row and column.
	// Use help of diagonal element and its neighbour.
	Ask(1, 1);
	Ask(1, 2);
	if (A[1][1] < A[1][2]) row_type[1] = 1; else row_type[1] = -1;
	for (int i = 2; i < n; i++) {
		Ask(i, i);
		Ask(i, i+1);
		if (A[i][i] < A[i][i+1]) row_type[i] = 1; else row_type[i] = -1;
		if (A[i-1][i] < A[i][i]) col_type[i] = 1; else col_type[i] = -1;
	}
	Ask(n, n);
	Ask(n, 1);
	if (A[n][1] < A[n][n])	row_type[n] = 1; else row_type[n] = -1;
	if (A[1][1] < A[n][1])	col_type[1] = 1; else col_type[1] = -1;
	if (A[n-1][n] < A[n][n]) col_type[n] = 1; else col_type[n] = -1;
	row = col = 0;
	for (int i = 2; i <= n; i++) {
		if (row_type[i-1] != row_type[i]) row++;
		if (col_type[i-1] != col_type[i]) col++;
	}
	if (row == 0) {
		// All rows are increasing or decreasing.
		SolveRow(n);
	} else if (col == 0) {
		// All columns are increasing or decreasing.
		SolveColumn(n);
	} else {
		// Initial set of rows are of one type and rest of another type.
		// Initial set of columns are one type and rest of another type.
		assert(row == 1);
		assert(col == 1);
		Resi2x2(n);
	}
}

int main() {
	int n, k;
	scanf("%d%d%d",&n, &k, &V);
	Solve(n,k);
	printf("2 -1 -1\n");
	fflush(stdout);
	return 0;
}