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‎integration_tests/elemental_09.py

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@@ -5,9 +5,12 @@ def test_numpy_mod():
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q1: i64[32, 16, 7] = empty((32, 16, 7), dtype=int64)
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d1: i64[32, 16, 7] = empty((32, 16, 7), dtype=int64)
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r1: i64[32, 16, 7] = empty((32, 16, 7), dtype=int64)
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r1neg: i64[32, 16, 7] = empty((32, 16, 7), dtype=int64)
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q2: i64[100] = empty(100, dtype=int64)
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d2: i64[100] = empty(100, dtype=int64)
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r2: i64[100] = empty(100, dtype=int64)
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i: i32; j: i32; k: i32
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rem: i64; q: i64; d: i64
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for i in range(32):
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for j in range(16):
@@ -16,11 +19,17 @@ def test_numpy_mod():
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q1[i, j, k] = (i + j) * (k + 1) + k
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r1 = mod(q1, d1)
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r1neg = mod(-q1, d1)
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for i in range(32):
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for j in range(16):
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for k in range(7):
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assert r1[i, j, k] == k
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if k == 0:
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rem = 0
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else:
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rem = d1[i, j, k] - k
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assert r1neg[i, j, k] == rem
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for i in range(32):
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for j in range(16):
@@ -50,5 +59,20 @@ def test_numpy_mod():
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for i in range(100):
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assert r2[i] == 100 % (i + 1)
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for i in range(100):
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d2[i] = 50 - i
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q2[i] = 39 - i
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r2 = mod(q2, d2)
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for i in range(100):
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d = 50 - i
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q = 39 - i
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rem = r2[i]
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if d == 0:
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assert rem == 0
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else:
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assert int((q - rem)/d) - (q - rem)/d == 0
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test_numpy_mod()

‎src/runtime/lpython_intrinsic_numpy.py

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@@ -300,9 +300,13 @@ def radians(x: f32) -> f32:
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@overload
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@vectorize
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def mod(x1: i64, x2: i64) -> i64:
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if x2 == 0:
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return int(0)
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return x1 % x2
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@overload
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@vectorize
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def mod(x1: i32, x2: i32) -> i32:
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if x2 == 0:
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return 0
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return x1 % x2

‎tests/reference/asr-array_01_decl-39cf894.json

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"stdout_hash": "10ee8079a365b996b100fabb7eae0db09526cba3fc5d4f6e0adce8bc",
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"stdout_hash": "5dbfa7830c3056596fb006d4ce72000c4110ad6ac20fd63b2a37f2d4",
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"stderr": null,
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"stderr_hash": null,
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"returncode": 0

‎tests/reference/asr-array_01_decl-39cf894.stdout

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‎tests/reference/asr-array_02_decl-e8f6874.json

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"outfile": null,
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"stdout": "asr-array_02_decl-e8f6874.stdout",
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"stdout_hash": "c727a5665a006349b9b4636b6d63b872693b7045e2fe237903338bec",
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"stderr": null,
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"stderr_hash": null,
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"returncode": 0

‎tests/reference/asr-array_02_decl-e8f6874.stdout

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‎tests/reference/asr-elemental_01-b58df26.json

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"outfile": null,
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"outfile_hash": null,
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"stdout": "asr-elemental_01-b58df26.stdout",
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"stdout_hash": "bfc4c222e5b551ff211fed8afcb0cd6040ba7ffc51c5a97902ebc5b6",
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"stdout_hash": "b440c1ad2402caf7631cdcabb9ab58cd2c5ea0e43f3318f68b0cc522",
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"stderr": null,
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"stderr_hash": null,
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"returncode": 0

‎tests/reference/asr-elemental_01-b58df26.stdout

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‎tests/reference/asr-test_numpy_03-e600a49.json

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"stdout": "asr-test_numpy_03-e600a49.stdout",
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"stderr": null,
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"stderr_hash": null,
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"returncode": 0

‎tests/reference/asr-test_numpy_03-e600a49.stdout

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‎tests/reference/asr-test_numpy_04-ecbb614.json

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"stdout": "asr-test_numpy_04-ecbb614.stdout",
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"stderr": null,
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"stderr_hash": null,
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"returncode": 0

‎tests/reference/asr-test_numpy_04-ecbb614.stdout

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‎tests/reference/asr-vec_01-66ac423.json

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"stdout": "asr-vec_01-66ac423.stdout",
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"stdout_hash": "711dc7b9b95542bfab629fe75a1d214748937af2b489aab3f15685a9",
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"stdout_hash": "a3eabb17c697fd11be32cbb197f603e066e05508bf0d6fc666a86226",
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"stderr": null,
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"returncode": 0

‎tests/reference/asr-vec_01-66ac423.stdout

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‎tests/reference/pass_loop_vectorise-vec_01-be9985e.json

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"stdout": "pass_loop_vectorise-vec_01-be9985e.stdout",
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"stderr": null,
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"stderr_hash": null,
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"returncode": 0

‎tests/reference/pass_loop_vectorise-vec_01-be9985e.stdout

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