| /packages/apps/Contacts/tests/src/com/android/contacts/activities/ |
| D | PeopleActivityTest.java | 158 ContentValues row1 = new ContentValues(); in expectContactEntityQuery() local
159 row1.put(Contacts.Entity.DATA_ID, 1); in expectContactEntityQuery()
160 row1.put(Contacts.Entity.LOOKUP_KEY, lookupKey); in expectContactEntityQuery()
161 row1.put(Contacts.Entity.CONTACT_ID, contactId); in expectContactEntityQuery()
162 row1.put(Contacts.Entity.DISPLAY_NAME, "Contact " + contactId); in expectContactEntityQuery()
163 row1.put(Contacts.Entity.ACCOUNT_NAME, TEST_ACCOUNT); in expectContactEntityQuery()
164 row1.put(Contacts.Entity.ACCOUNT_TYPE, TEST_ACCOUNT_TYPE); in expectContactEntityQuery()
169 .returnRow(row1) in expectContactEntityQuery()
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | concat_quant8_2.mod.py | 20 row1 = 52 variable
23 output_row = row1 + row2
25 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row1, col))
32 input1_values = [x % 256 for x in range(row1 * col)]
33 input2_values = (lambda s1 = row1 * col, s2 = row2 * col:
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| D | concat_float_2.mod.py | 20 row1 = 52 variable
23 output_row = row1 + row2
25 input1 = Input("input1", "TENSOR_FLOAT32", "{%d, %d}" % (row1, col)) # input tensor 1
32 input1_values = [x for x in range(row1 * col)]
33 input2_values = (lambda s1 = row1 * col, s2 = row2 * col:
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | concat_float16_2.mod.py | 20 row1 = 52 variable
23 output_row = row1 + row2
25 input1 = Input("input1", "TENSOR_FLOAT16", "{%d, %d}" % (row1, col)) # input tensor 1
32 input1_values = [x for x in range(row1 * col)]
33 input2_values = (lambda s1 = row1 * col, s2 = row2 * col:
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | concat_float_2_relaxed.mod.py | 20 row1 = 52 variable
23 output_row = row1 + row2
25 input1 = Input("input1", "TENSOR_FLOAT32", "{%d, %d}" % (row1, col)) # input tensor 1
33 input1_values = [x for x in range(row1 * col)]
34 input2_values = (lambda s1 = row1 * col, s2 = row2 * col:
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | concat_quant8_signed.mod.py | 79 row1 = 52 variable
82 output_row = row1 + row2
84 input1 = Input("input1", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d}, 0.5f, -128" % (row1, col))
91 input1_values = [x % 256 for x in range(row1 * col)]
92 input2_values = (lambda s1 = row1 * col, s2 = row2 * col:
|
| /packages/apps/DocumentsUI/tests/unit/com/android/documentsui/ |
| D | ModelTest.java | 126 MatrixCursor.RowBuilder row1 = cIn2.newRow(); in testModelIdIsUnique() local
127 row1.add(RootCursorWrapper.COLUMN_AUTHORITY, AUTHORITY1); in testModelIdIsUnique()
128 row1.add(Document.COLUMN_DOCUMENT_ID, Integer.toString(i)); in testModelIdIsUnique()
|
| /packages/apps/Contacts/tests/src/com/android/contacts/tests/allintents/ |
| D | AllIntentsActivity.java | 628 ContentValues row1 = new ContentValues(); in putDataExtra() local
629 row1.put(Data.MIMETYPE, Organization.CONTENT_ITEM_TYPE); in putDataExtra()
630 row1.put(Organization.COMPANY, "Android"); in putDataExtra()
639 rows.add(row1); in putDataExtra()
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| /packages/providers/TelephonyProvider/tests/src/com/android/providers/telephony/ |
| D | TelephonyProviderTest.java | 535 Uri row1 = mContentResolver.insert(Carriers.CONTENT_URI, contentValues); in testUpdateConflictingCarriers() local
|