id stringlengths 7 14 | test_class dict | test_case dict | focal_class dict | focal_method dict | repository dict |
|---|---|---|---|---|---|
11309044_0 | {
"fields": [],
"file": "lintools-datatypes-fastutil/src/test/java/tl/lin/data/map/Int2IntOpenHashMapWritableTest.java",
"identifier": "Int2IntOpenHashMapWritableTest",
"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void testIncrement() throws IOException {\n Int2IntOpenHashMapWritable m = new Int2IntOpenHashMapWritable();\n\n m.put(2, 7);\n m.put(1, 29);\n\n assertEquals(7, m.get(2));\n assertEquals(29, m.get(1));\n\n m.increment(2);\n m.increment(1);\n m.increment(3);\n\n a... | {
"fields": [
{
"declarator": "serialVersionUID = 1255879065743242L",
"modifier": "private static final",
"original_string": "private static final long serialVersionUID = 1255879065743242L;",
"type": "long",
"var_name": "serialVersionUID"
},
{
"declarator": "LAZY_DECODE... | {
"body": "public void increment(int key) {\n increment(key, 1);\n }",
"class_method_signature": "Int2IntOpenHashMapWritable.increment(int key)",
"constructor": false,
"full_signature": "public void increment(int key)",
"identifier": "increment",
"invocations": [
"increment"
],
"modifiers": "pub... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_59 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "int neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6, seven = 7,\n nine = 9;",
"type": "int",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/src/test... | {
"body": "@Test\n public void testToString1() {\n assertEquals(\"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\", new ArrayListOfInts(1, 11).toString());\n assertEquals(\"[1, 2, 3, 4, 5 ... (5 more) ]\", new ArrayListOfInts(1, 11).toString(5));\n\n assertEquals(\"[1, 2, 3, 4, 5]\", new ArrayListOfInts(1, 6).toString());... | {
"fields": [
{
"declarator": "array",
"modifier": "protected transient",
"original_string": "protected transient int[] array;",
"type": "int[]",
"var_name": "array"
},
{
"declarator": "size = 0",
"modifier": "protected",
"original_string": "protected int si... | {
"body": "public String toString(int n) {\n StringBuilder s = new StringBuilder();\n\n s.append(\"[\");\n int sz = size() > n ? n : size;\n\n for (int i = 0; i < sz; i++) {\n s.append(get(i));\n if (i < sz - 1) {\n s.append(\", \");\n }\n }\n\n s.append(size() > n ? String.for... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_79 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "short neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6,\n seven = 7, nine = 9;",
"type": "short",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/src/... | {
"body": "@Test\n public void testRemove() {\n ArrayListOfShorts list = new ArrayListOfShorts();\n for (int i = 0; i < 10; i++) {\n list.add((short) i);\n }\n\n list.remove(list.indexOf((short) 5));\n assertEquals(9, list.size());\n assertEquals(0, list.get(0));\n assertEquals(1, list.get(... | {
"fields": [
{
"declarator": "array",
"modifier": "protected transient",
"original_string": "protected transient short[] array;",
"type": "short[]",
"var_name": "array"
},
{
"declarator": "size",
"modifier": "protected",
"original_string": "protected int si... | {
"body": "public short remove(int index) {\n if (index >= size) {\n throw new ArrayIndexOutOfBoundsException();\n }\n short oldValue = array[index];\n\n int numMoved = size - index - 1;\n if (numMoved > 0) {\n System.arraycopy(array, index + 1, array, index, numMoved);\n }\n\n size--;\... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_96 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "long neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6, seven = 7,\n nine = 9;",
"type": "long",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/src/te... | {
"body": "@Test\n public void testAddUnique() {\n ArrayListOfLongs a = new ArrayListOfLongs(new long[] { 1, 2, 3, 4, 5, 6, 7 });\n a.addUnique(new long[] { 8, 0, 2, 5, -1, 11, 9 });\n assertEquals(12, a.size());\n assertEquals(0, a.get(8));\n assertEquals(-1, a.get(9));\n assertEquals(11, a.get(10... | {
"fields": [
{
"declarator": "array",
"modifier": "protected transient",
"original_string": "protected transient long[] array;",
"type": "long[]",
"var_name": "array"
},
{
"declarator": "size = 0",
"modifier": "protected",
"original_string": "protected int ... | {
"body": "public void addUnique(long[] arr) {\n for (int i = 0; i < arr.length; i++) {\n long elt = arr[i];\n if (!contains(elt)) {\n add(elt);\n }\n }\n }",
"class_method_signature": "ArrayListOfLongs.addUnique(long[] arr)",
"constructor": false,
"full_signature": "public void add... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_106 | {
"fields": [],
"file": "lintools-datatypes/src/test/java/tl/lin/data/map/HMapIITest.java",
"identifier": "HMapIITest",
"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void testPut() {\n HMapII m = new HMapII();\n // When we put a value, we should get back the old value.\n\n assertEquals(MapII.DEFAULT_VALUE, m.put(1, 5));\n assertEquals(5, m.put(1, 6));\n assertEquals(6, m.put(1, 2));\n assertEquals(2, m.get(1));\n }",
"class_method_s... | {
"fields": [
{
"declarator": "DEFAULT_INITIAL_CAPACITY = 1024",
"modifier": "static final",
"original_string": "static final int DEFAULT_INITIAL_CAPACITY = 1024;",
"type": "int",
"var_name": "DEFAULT_INITIAL_CAPACITY"
},
{
"declarator": "MAXIMUM_CAPACITY = 1 << 30",
... | {
"body": "@Override\n public int put(int key, int value) {\n int hash = hash(key);\n int i = indexFor(hash, table.length);\n for (Entry e = table[i]; e != null; e = e.next) {\n int k;\n if (e.hash == hash && ((k = e.key) == key || key == k)) {\n int oldValue = e.value;\n e.value = v... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_38 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "long neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6, seven = 7,\n nine = 9;",
"type": "long",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/src/te... | {
"body": "@Test\n public void testCompare() {\n ArrayListOfLongsWritable a = new ArrayListOfLongsWritable();\n a.add(one).add(three).add(five);\n\n ArrayListOfLongsWritable b = new ArrayListOfLongsWritable();\n\n // [1,3,5] < [1,3,5,7]\n b.add(one).add(three).add(five).add(seven);\n assertTrue(b.c... | {
"fields": [],
"file": "lintools-datatypes/src/main/java/tl/lin/data/array/ArrayListOfLongsWritable.java",
"identifier": "ArrayListOfLongsWritable",
"interfaces": "implements\n WritableComparable<ArrayListOfLongsWritable>",
"methods": [
{
"class_method_signature": "ArrayListOfLongsWritable.Array... | {
"body": "@Override\n public int compareTo(ArrayListOfLongsWritable obj) {\n ArrayListOfLongsWritable other = (ArrayListOfLongsWritable) obj;\n if (isEmpty()) {\n if (other.isEmpty()) {\n return 0;\n } else {\n return -1;\n }\n }\n\n for (int i = 0; i < size(); i++) {\n ... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_80 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "short neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6,\n seven = 7, nine = 9;",
"type": "short",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/src/... | {
"body": "@Test\n public void testClone() {\n int size = 10000;\n Random r = new Random();\n int[] shorts = new int[size];\n\n ArrayListOfShorts list1 = new ArrayListOfShorts();\n for (int i = 0; i < size; i++) {\n short k = (short) r.nextInt(size);\n list1.add(k);\n shorts[i] = k;\n ... | {
"fields": [
{
"declarator": "array",
"modifier": "protected transient",
"original_string": "protected transient short[] array;",
"type": "short[]",
"var_name": "array"
},
{
"declarator": "size",
"modifier": "protected",
"original_string": "protected int si... | {
"body": "public ArrayListOfShorts clone() {\n return new ArrayListOfShorts(Arrays.copyOf(array, this.size()));\n }",
"class_method_signature": "ArrayListOfShorts.clone()",
"constructor": false,
"full_signature": "public ArrayListOfShorts clone()",
"identifier": "clone",
"invocations": [
"copyOf",
... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_110 | {
"fields": [],
"file": "lintools-datatypes/src/test/java/tl/lin/data/map/HMapKSTest.java",
"identifier": "HMapKSTest",
"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void testDot() throws IOException {\n HMapKS<Text> m1 = new HMapKS<Text>();\n\n m1.put(new Text(\"hi\"), (short) 5);\n m1.put(new Text(\"there\"), (short) 2);\n m1.put(new Text(\"empty\"), (short) 3);\n\n HMapKS<Text> m2 = new HMapKS<Text>();\n\n m2.put(new Text(\"hi\"), (... | {
"fields": [
{
"declarator": "DEFAULT_INITIAL_CAPACITY = 1024",
"modifier": "static final",
"original_string": "static final int DEFAULT_INITIAL_CAPACITY = 1024;",
"type": "int",
"var_name": "DEFAULT_INITIAL_CAPACITY"
},
{
"declarator": "MAXIMUM_CAPACITY = 1 << 30",
... | {
"body": "@Override\n public long dot(MapKS<K> m) {\n int s = 0;\n\n for (MapKS.Entry<K> e : m.entrySet()) {\n K key = e.getKey();\n\n if (this.containsKey(key)) {\n s += this.get(key) * e.getValue();\n }\n }\n\n return s;\n }",
"class_method_signature": "HMapKS.dot(MapKS<K> m)"... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_14 | {
"fields": [],
"file": "lintools-datatypes-fastutil/src/test/java/tl/lin/data/map/Int2LongOpenHashMapWritableTest.java",
"identifier": "Int2LongOpenHashMapWritableTest",
"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void testSortedEntries3() {\n Int2LongOpenHashMapWritable m = new Int2LongOpenHashMapWritable();\n\n m.put(1, 5);\n m.put(2, 2);\n\n Int2LongMap.Entry[] e = m.getEntriesSortedByValue(5);\n\n assertEquals(2, e.length);\n\n assertEquals(1, e[0].getIntKey());\n assertEqual... | {
"fields": [
{
"declarator": "serialVersionUID = 1029363828020488531L",
"modifier": "private static final",
"original_string": "private static final long serialVersionUID = 1029363828020488531L;",
"type": "long",
"var_name": "serialVersionUID"
},
{
"declarator": "LAZY_... | {
"body": "public Int2LongMap.Entry[] getEntriesSortedByValue() {\n if (this.size() == 0)\n return null;\n\n Int2LongMap.Entry[] entries = new Int2LongMap.Entry[this.size()];\n entries = this.int2LongEntrySet().toArray(entries);\n\n // sort the entries\n Arrays.sort(entries, new Comparator<Int2Lon... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_43 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "float neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6,\n seven = 7, nine = 9;",
"type": "float",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/src/... | {
"body": "@Test\n public void testClone() {\n int size = 100000;\n Random r = new Random();\n float[] floats = new float[size];\n\n ArrayListOfFloats list1 = new ArrayListOfFloats();\n for (int i = 0; i < size; i++) {\n float k = r.nextFloat();\n list1.add(k);\n floats[i] = k;\n }\n... | {
"fields": [
{
"declarator": "array",
"modifier": "protected transient",
"original_string": "protected transient float[] array;",
"type": "float[]",
"var_name": "array"
},
{
"declarator": "size = 0",
"modifier": "protected",
"original_string": "protected in... | {
"body": "public ArrayListOfFloats clone() {\n return new ArrayListOfFloats(Arrays.copyOf(array, this.size()));\n }",
"class_method_signature": "ArrayListOfFloats.clone()",
"constructor": false,
"full_signature": "public ArrayListOfFloats clone()",
"identifier": "clone",
"invocations": [
"copyOf",
... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_55 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "int neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6, seven = 7,\n nine = 9;",
"type": "int",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/src/test... | {
"body": "@Test\n public void testInitialSize() {\n ArrayListOfInts a = new ArrayListOfInts();\n assertEquals(0, a.size());\n }",
"class_method_signature": "ArrayListOfIntsTest.testInitialSize()",
"constructor": false,
"full_signature": "@Test public void testInitialSize()",
"identifier": "testInitia... | {
"fields": [
{
"declarator": "array",
"modifier": "protected transient",
"original_string": "protected transient int[] array;",
"type": "int[]",
"var_name": "array"
},
{
"declarator": "size = 0",
"modifier": "protected",
"original_string": "protected int si... | {
"body": "public int size() {\n return size;\n }",
"class_method_signature": "ArrayListOfInts.size()",
"constructor": false,
"full_signature": "public int size()",
"identifier": "size",
"invocations": [],
"modifiers": "public",
"parameters": "()",
"return": "int",
"signature": "int size()",
"... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_54 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "double neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6,\n seven = 7, nine = 9;",
"type": "double",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/sr... | {
"body": "@Test\n public void testCompare2() {\n // [1, 3, 6]\n ArrayListOfDoublesWritable a = new ArrayListOfDoublesWritable();\n a.add(one).add(three).add(six);\n\n // [1, 3, 4]\n ArrayListOfDoublesWritable b = new ArrayListOfDoublesWritable();\n b.add(one).add(three).add(four);\n assertTrue(... | {
"fields": [],
"file": "lintools-datatypes/src/main/java/tl/lin/data/array/ArrayListOfDoublesWritable.java",
"identifier": "ArrayListOfDoublesWritable",
"interfaces": "implements\n WritableComparable<ArrayListOfDoublesWritable>",
"methods": [
{
"class_method_signature": "ArrayListOfDoublesWritab... | {
"body": "@Override\n public int compareTo(ArrayListOfDoublesWritable obj) {\n ArrayListOfDoublesWritable other = (ArrayListOfDoublesWritable) obj;\n if (isEmpty()) {\n if (other.isEmpty()) {\n return 0;\n } else {\n return -1;\n }\n }\n\n for (int i = 0; i < size(); i++) {\... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_42 | {
"fields": [
{
"declarator": "neg_one = -1",
"modifier": "",
"original_string": "float neg_one = -1, zero = 0, one = 1, two = 2, three = 3, four = 4, five = 5, six = 6,\n seven = 7, nine = 9;",
"type": "float",
"var_name": "neg_one"
}
],
"file": "lintools-datatypes/src/... | {
"body": "@Test\n public void testRemove() {\n ArrayListOfFloats list = new ArrayListOfFloats();\n for (int i = 0; i < 10; i++) {\n list.add((float) i);\n }\n\n list.remove(list.indexOf(5.0f));\n assertEquals(9, list.size());\n assertEquals(0.0f, list.get(0), 10e-6);\n assertEquals(1.0f, l... | {
"fields": [
{
"declarator": "array",
"modifier": "protected transient",
"original_string": "protected transient float[] array;",
"type": "float[]",
"var_name": "array"
},
{
"declarator": "size = 0",
"modifier": "protected",
"original_string": "protected in... | {
"body": "public float remove(int index) {\n if (index >= size) {\n throw new ArrayIndexOutOfBoundsException();\n }\n float oldValue = array[index];\n\n int numMoved = size - index - 1;\n if (numMoved > 0) {\n System.arraycopy(array, index + 1, array, index, numMoved);\n }\n\n size--;\... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_15 | {
"fields": [],
"file": "lintools-datatypes-fastutil/src/test/java/tl/lin/data/map/Int2LongOpenHashMapWritableTest.java",
"identifier": "Int2LongOpenHashMapWritableTest",
"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void testSortedEntries4() {\n Int2LongOpenHashMapWritable m = new Int2LongOpenHashMapWritable();\n\n Int2LongMap.Entry[] e = m.getEntriesSortedByValue();\n assertTrue(e == null);\n }",
"class_method_signature": "Int2LongOpenHashMapWritableTest.testSortedEntries4()",
"construct... | {
"fields": [
{
"declarator": "serialVersionUID = 1029363828020488531L",
"modifier": "private static final",
"original_string": "private static final long serialVersionUID = 1029363828020488531L;",
"type": "long",
"var_name": "serialVersionUID"
},
{
"declarator": "LAZY_... | {
"body": "public Int2LongMap.Entry[] getEntriesSortedByValue() {\n if (this.size() == 0)\n return null;\n\n Int2LongMap.Entry[] entries = new Int2LongMap.Entry[this.size()];\n entries = this.int2LongEntrySet().toArray(entries);\n\n // sort the entries\n Arrays.sort(entries, new Comparator<Int2Lon... | {
"created": null,
"fork": null,
"fork_count": 31,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 11309044,
"size": 575,
"stargazer_count": 17,
"stars": null,
"updates": null,
"url": "https://github.com/lintool/tools"
} |
11309044_111 | {
"fields": [],
"file": "lintools-datatypes/src/test/java/tl/lin/data/map/HMapKSTest.java",
"identifier": "HMapKSTest",
"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void testIncrement() {\n HMapKS<String> m = new HMapKS<String>();\n assertEquals(0, m.get(\"one\"));\n\n m.increment(\"one\", (short) 1);\n assertEquals(1, m.get(\"one\"));\n\n m.increment(\"one\", (short) 1);\n m.increment(\"two\", (short) 0);\n m.increment(\"three\", ... | {
"fields": [
{
"declarator": "DEFAULT_INITIAL_CAPACITY = 1024",
"modifier": "static final",
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11309044_81 | {
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11309044_39 | {
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11309044_107 | {
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11309044_78 | {
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],
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{
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11309044_97 | {
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11309044_58 | {
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11309044_127 | {
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11309044_1 | {
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"body": "@Test\n public void testPlus() throws IOException {\n Int2IntOpenHashMapWritable m1 = new Int2IntOpenHashMapWritable();\n\n m1.put(1, 5);\n m1.put(2, 22);\n\n Int2IntOpenHashMapWritable m2 = new Int2IntOpenHashMapWritable();\n\n m2.put(1, 4);\n m2.put(3, 5);\n\n m1.plus(m2);\n\n as... | {
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11309044_131 | {
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11309044_19 | {
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11309044_62 | {
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11309044_35 | {
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11309044_23 | {
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"body": "@Test\n public void testSortedEntries4() {\n Int2FloatOpenHashMapWritable m = new Int2FloatOpenHashMapWritable();\n\n Int2FloatMap.Entry[] e = m.getEntriesSortedByValue();\n assertTrue(e == null);\n }",
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"body": "public Int2FloatMap.Entry[] getEntriesSortedByValue() {\n if (this.size() == 0)\n return null;\n\n Int2FloatMap.Entry[] entries = new Int2FloatMap.Entry[this.size()];\n entries = this.int2FloatEntrySet().toArray(entries);\n\n // Sort the entries.\n Arrays.sort(entries, new Comparator<In... | {
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11309044_74 | {
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57180498_1 | {
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"file": "nvwa-codec-core/src/test/java/org/bigmouth/nvwa/codec/tlv/decoders/TLVStringArrayDecoderTest.java",
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} | {
"body": "@Test\n\tpublic void testTLVStringArrayDecoder() {\n\t\tTLVEncoder<Object> tlvEncoder = TLVCodecProviders.newBigEndianTLVEncoderProvider()\n\t\t\t\t.getObjectEncoder();\n\t\tTLVDecoder<Object> tlvDecoder = TLVCodecProviders.newBigEndianTLVDecoderProvider()\n\t\t\t\t.getObjectDecoder();\n\n\t\tBean a = new ... | {
"fields": [
{
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"type": "String[]",
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57180498_0 | {
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"superclass": ""
} | {
"body": "@Test\n\tpublic void test() {\n\t\tTLVEncoder<Object> tlvEncoder = TLVCodecProviders.newBigEndianTLVEncoderProvider()\n\t\t\t\t.getObjectEncoder();\n\t\tTLVDecoder<Object> tlvDecoder = TLVCodecProviders.newBigEndianTLVDecoderProvider()\n\t\t\t\t.getObjectDecoder();\n\n\t\tByteArrayOutputStream bos = new By... | {
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{
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... | {
"body": "@SuppressWarnings(\"unchecked\")\n\t@Override\n\tpublic Object codec(byte[] source, Object targetClass) {\n\t\t// targetObject is type of tlv annotation class\n\t\tif (null == source || null == targetClass)\n\t\t\tthrow new NullPointerException(\"source is null or targetObject is null.\");\n\n\t\tif (!(tar... | {
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20576090_0 | {
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} | {
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{
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{
"declarator": "clockText",
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"body": "static String colorToHTML(int argb) {\n return String.format(\"#%06X\", argb & 0xffffff);\n }",
"class_method_signature": "MissionLog.colorToHTML(int argb)",
"constructor": false,
"full_signature": "static String colorToHTML(int argb)",
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"invocations": [
... | {
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"url": "https://github.com/nibuen/SpaceAlertMissionGenerator"
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17775087_0 | {
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"file": "app-catalog/volley/src/test/java/com/android/volley/RequestTest.java",
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"interfaces": "",
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} | {
"body": "@Test public void compareTo() {\n int sequence = 0;\n TestRequest low = new TestRequest(Priority.LOW);\n low.setSequence(sequence++);\n TestRequest low2 = new TestRequest(Priority.LOW);\n low2.setSequence(sequence++);\n TestRequest high = new TestRequest(Priority.H... | {
"fields": [
{
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{
"declarator": "mE... | {
"body": "@Override\n public int compareTo(Request<T> other) {\n Priority left = this.getPriority();\n Priority right = other.getPriority();\n\n // High-priority requests are \"lesser\" so they are sorted to the front.\n // Equal priorities are sorted by sequence number to provide FIFO... | {
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17775087_11 | {
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{
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... | {
"body": "@Test public void serverError_disableRetries() throws Exception {\n for (int i = 500; i <= 599; i++) {\n MockHttpStack mockHttpStack = new MockHttpStack();\n BasicHttpResponse fakeResponse =\n new BasicHttpResponse(new ProtocolVersion(\"HTTP\", 1, 1), i, \"\"... | {
"fields": [
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{
"declarator": "SLOW_REQUEST_THRESHOLD_MS = 3000",
... | {
"body": "@Override\n public NetworkResponse performRequest(Request<?> request) throws VolleyError {\n long requestStart = SystemClock.elapsedRealtime();\n while (true) {\n HttpResponse httpResponse = null;\n byte[] responseContents = null;\n Map<String, String> resp... | {
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17775087_1 | {
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"superclass": ""
} | {
"body": "@Test public void urlParsing() {\n UrlParseRequest nullUrl = new UrlParseRequest(null);\n assertEquals(0, nullUrl.getTrafficStatsTag());\n UrlParseRequest emptyUrl = new UrlParseRequest(\"\");\n assertEquals(0, emptyUrl.getTrafficStatsTag());\n UrlParseRequest noHost = ne... | {
"fields": [
{
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"type": "String",
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{
"declarator": "mE... | {
"body": "public int getTrafficStatsTag() {\n return mDefaultTrafficStatsTag;\n }",
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"constructor": false,
"full_signature": "public int getTrafficStatsTag()",
"identifier": "getTrafficStatsTag",
"invocations": [],
"modifiers": "public",
... | {
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17775087_10 | {
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{
"declarator": "mMockRetryPolicy",
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... | {
"body": "@Test public void serverError_enableRetries() throws Exception {\n for (int i = 500; i <= 599; i++) {\n MockHttpStack mockHttpStack = new MockHttpStack();\n BasicHttpResponse fakeResponse =\n new BasicHttpResponse(new ProtocolVersion(\"HTTP\", 1, 1), i, \"\")... | {
"fields": [
{
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{
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... | {
"body": "@Override\n public NetworkResponse performRequest(Request<?> request) throws VolleyError {\n long requestStart = SystemClock.elapsedRealtime();\n while (true) {\n HttpResponse httpResponse = null;\n byte[] responseContents = null;\n Map<String, String> resp... | {
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17775087_6 | {
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{
"declarator": "mMockRetryPolicy",
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... | {
"body": "@Test public void unauthorized() throws Exception {\n MockHttpStack mockHttpStack = new MockHttpStack();\n BasicHttpResponse fakeResponse = new BasicHttpResponse(new ProtocolVersion(\"HTTP\", 1, 1),\n 401, \"Unauthorized\");\n mockHttpStack.setResponseToReturn(fakeRespon... | {
"fields": [
{
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{
"declarator": "SLOW_REQUEST_THRESHOLD_MS = 3000",
... | {
"body": "@Override\n public NetworkResponse performRequest(Request<?> request) throws VolleyError {\n long requestStart = SystemClock.elapsedRealtime();\n while (true) {\n HttpResponse httpResponse = null;\n byte[] responseContents = null;\n Map<String, String> resp... | {
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17775087_40 | {
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{
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},
{
"declarator": "mAccount",
"modifier": "private",
"original_stri... | {
"body": "@Test(expected = AuthFailureError.class)\n public void failedGetAuthToken() throws Exception {\n when(mAccountManager.getAuthToken(mAccount, \"cooltype\", false, null, null)).thenReturn(mFuture);\n when(mFuture.getResult()).thenThrow(new AuthenticatorException(\"sadness!\"));\n mAut... | {
"fields": [
{
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},
{
"declarator": "mAccount",
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... | {
"body": "@SuppressWarnings(\"deprecation\")\n @Override\n public String getAuthToken() throws AuthFailureError {\n AccountManagerFuture<Bundle> future = mAccountManager.getAuthToken(mAccount,\n mAuthTokenType, mNotifyAuthFailure, null, null);\n Bundle result;\n try {\n ... | {
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} |
17775087_41 | {
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},
{
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"body": "@Test(expected = AuthFailureError.class)\n public void resultContainsIntent() throws Exception {\n Intent intent = new Intent();\n Bundle bundle = new Bundle();\n bundle.putParcelable(AccountManager.KEY_INTENT, intent);\n when(mAccountManager.getAuthToken(mAccount, \"cooltype... | {
"fields": [
{
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{
"declarator": "mAccount",
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... | {
"body": "@SuppressWarnings(\"deprecation\")\n @Override\n public String getAuthToken() throws AuthFailureError {\n AccountManagerFuture<Bundle> future = mAccountManager.getAuthToken(mAccount,\n mAuthTokenType, mNotifyAuthFailure, null, null);\n Bundle result;\n try {\n ... | {
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17775087_7 | {
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{
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... | {
"body": "@Test public void forbidden() throws Exception {\n MockHttpStack mockHttpStack = new MockHttpStack();\n BasicHttpResponse fakeResponse = new BasicHttpResponse(new ProtocolVersion(\"HTTP\", 1, 1),\n 403, \"Forbidden\");\n mockHttpStack.setResponseToReturn(fakeResponse);\n... | {
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{
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... | {
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17775087_8 | {
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{
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... | {
"body": "@Test public void redirect() throws Exception {\n for (int i = 300; i <= 399; i++) {\n MockHttpStack mockHttpStack = new MockHttpStack();\n BasicHttpResponse fakeResponse =\n new BasicHttpResponse(new ProtocolVersion(\"HTTP\", 1, 1), i, \"\");\n mo... | {
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... | {
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} |
17775087_39 | {
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{
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"body": "static int findBestSampleSize(\n int actualWidth, int actualHeight, int desiredWidth, int desiredHeight) {\n double wr = (double) actualWidth / desiredWidth;\n double hr = (double) actualHeight / desiredHeight;\n double ratio = Math.min(wr, hr);\n float n = 1.0f;\n ... | {
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17775087_42 | {
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{
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{
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... | {
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} |
17775087_4 | {
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... | {
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{
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... | {
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17775087_5 | {
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... | {
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... | {
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17775087_43 | {
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{
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... | {
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17775087_9 | {
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... | {
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17775087_44 | {
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... | {
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17775087_2 | {
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... | {
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17775087_3 | {
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17775087_45 | {
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{
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128393918_134 | {
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{
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128393918_358 | {
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"identifier": "canCreateTempl... | {
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128393918_163 | {
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{
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{
"declarator": "random",
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"body": "@Test\n public void logProbGraphMatchesKnownLogDensityOfVector() {\n DoubleVertex sigma = ConstantVertex.of(1., 1.);\n HalfGaussianVertex halfGaussianVertex = new HalfGaussianVertex(sigma);\n LogProbGraph logProbGraph = halfGaussianVertex.logProbGraph();\n LogProbGraphValueFe... | {
"fields": [
{
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{
"declarator": "LOG_TWO = Math.log(2)",
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128393918_175 | {
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{
"declarator": "random",
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"body": "@Test\n public void logProbGraphIsNegInfIfLocationAndScaleIsNotPositive() {\n DoubleVertex location = ConstantVertex.of(-1., 1.);\n DoubleVertex scale = ConstantVertex.of(0., 3.);\n ParetoVertex paretoVertex = new ParetoVertex(location, scale);\n LogProbGraph logProbGraph = p... | {
"fields": [
{
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},
{
"declarator": "location",
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128393918_319 | {
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{
"declarator": "qDist",... | {
"body": "@Test\n public void returnsLargerKLDivergenceIfTheLocationOfQIsFurtherFromP_QIsQDistribution() {\n GaussianVertex v1 = new GaussianVertex(0., 1.);\n ConstantDoubleVertex v2 = new ConstantDoubleVertex(0.1);\n DoubleVertex v3 = v1.plus(v2);\n\n KeanuProbabilisticModel model = n... | {
"fields": [],
"file": "keanu-project/src/main/java/io/improbable/keanu/algorithms/variational/KLDivergence.java",
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{
"class_method_signature": "KLDivergence.compute(QDistribution q, NetworkSamples p)",
"constructor": false,
"f... | {
"body": "public static double compute(QDistribution q, NetworkSamples p) {\n return compute(p, q::getLogOfMasterP);\n }",
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"constructor": false,
"full_signature": "public static double compute(QDistribution q, Networ... | {
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128393918_122 | {
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{
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{
"declarator": "N = 100000",
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"body": "@Category(Slow.class)\n @Test\n public void fourValuesNotEquallyWeightedSummingToOne() {\n\n Map<TestEnum, DoubleVertex> selectableValues = new LinkedHashMap<>();\n selectableValues.put(TestEnum.A, ConstantVertex.of(0.1));\n selectableValues.put(TestEnum.B, ConstantVertex.of(0.2)... | {
"fields": [
{
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}
],
"file": "keanu-project/src/main/java/io/... | {
"body": "public static <CATEGORY> CategoricalVertex<CATEGORY> of(\n Map<CATEGORY, Double> selectableValues\n ) {\n return new CategoricalVertex<>(toDoubleVertices(selectableValues));\n }",
"class_method_signature": "CategoricalVertex.of(\n Map<CATEGORY, Double> selectableValues\n )",... | {
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} |
128393918_159 | {
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{
"declarator": "random",
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"original_string":... | {
"body": "@Test\n public void logProbGraphMatchesKnownLogDensityOfScalar() {\n DoubleVertex mu = ConstantVertex.of(0.);\n DoubleVertex sigma = ConstantVertex.of(1.);\n LogNormalVertex logNormalVertex = new LogNormalVertex(mu, sigma);\n LogProbGraph logProbGraph = logNormalVertex.logPro... | {
"fields": [
{
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},
{
"declarator": "sigma",
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} |
128393918_270 | {
"fields": [
{
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},
{
"declarator": "BReference",
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"original_string": "p... | {
"body": "@Test\n public void canTimesAMapOfValues() {\n\n Map<VariableReference, DoubleTensor> result = VariableValues.times(left, 2);\n\n DoubleTensor expectedA = DoubleTensor.create(2, 4);\n DoubleTensor expectedB = DoubleTensor.create(6, 8);\n\n assertEquals(expectedA, result.get(A... | {
"fields": [],
"file": "keanu-project/src/main/java/io/improbable/keanu/algorithms/mcmc/nuts/VariableValues.java",
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{
"class_method_signature": "VariableValues.VariableValues()",
"constructor": true,
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} |
128393918_21 | {
"fields": [
{
"declarator": "scalar1 = new long[0]",
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},
{
"declarator": "scalar2 = new long[0]",
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"original_str... | {
"body": "@Test(expected = IllegalArgumentException.class)\n public void rejectsShapeNotMatchingParent() {\n TensorShapeValidation.checkTensorsMatchNonLengthOneShapeOrAreLengthOne(new long[]{2, 4}, twoByTwo1, scalar1);\n }",
"class_method_signature": "TensorShapeValidationTest.rejectsShapeNotMatchingP... | {
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{
"class_method_signature": "TensorShapeValidation.TensorShapeValidation()",
"constructor": true,
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"body": "public static void checkTensorsMatchNonLengthOneShapeOrAreLengthOne(long[] proposalShape, long[]... shapes) {\n\n Set<TensorShape> nonLengthOneShapes = getNonLengthOneShapes(shapes);\n\n if (!nonLengthOneShapes.isEmpty()) {\n\n boolean moreThanOneNonLengthOneShape = nonLengthOneSha... | {
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} |
128393918_335 | {
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{
"declarator": "ROWS = Arrays.asList(\n new Bean(0),\n new Bean(0),\n new Bean(0)\n )",
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"body": "@Test\n public void buildSequenceFromCount_Size() {\n int n = 100;\n Sequence sequence = new SequenceBuilder()\n .count(n)\n .withFactory(item -> {\n })\n .build();\n assertEquals(n, sequence.size());\n }",
"class_method_signature": "... | {
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{
"declarator": "PROXY_LABEL_MARKER = \"proxy_for\"",
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{
"declarator": "initialSt... | {
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} |
128393918_76 | {
"fields": [
{
"declarator": "samples",
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"type": "NetworkSamples",
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},
{
"declarator": "rowTensors = new ArrayList<>()",
"modifier": "private",
"original_string... | {
"body": "@Test\n public void writeRowOfScalarsToCsvWithCustomHeader() throws IOException {\n String[] customHeader = new String[]{\"Temperature\", \"Humidity\"};\n File file = WriteCsv.asColumns(scalarTensors).withHeader(customHeader).toFile(File.createTempFile(\"test\", \".csv\"));\n\n CsvR... | {
"fields": [],
"file": "keanu-project/src/main/java/io/improbable/keanu/util/csv/WriteCsv.java",
"identifier": "WriteCsv",
"interfaces": "",
"methods": [
{
"class_method_signature": "WriteCsv.asSamples(NetworkSamples samples, List<? extends Vertex<? extends Tensor, ?>> vertices)",
"constructo... | {
"body": "public static ColumnWriter asColumns(List<? extends Vertex<? extends Tensor, ?>> vertices) {\n return new ColumnWriter(vertices);\n }",
"class_method_signature": "WriteCsv.asColumns(List<? extends Vertex<? extends Tensor, ?>> vertices)",
"constructor": false,
"full_signature": "public stati... | {
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} |
128393918_227 | {
"fields": [
{
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"original_string": "@Rule\n public ExpectedException expectedException = ExpectedException.none();",
"type": "ExpectedException",
"var_name": "expectedException"
}
... | {
"body": "@Test\n public void byDefaultALabelHasNoNamespace() {\n VertexLabel foo = new VertexLabel(\"foo\");\n assertThat(foo.toString(), equalTo(\"foo\"));\n }",
"class_method_signature": "VertexLabelTest.byDefaultALabelHasNoNamespace()",
"constructor": false,
"full_signature": "@Test pub... | {
"fields": [
{
"declarator": "NAMESPACE_SEPARATOR = '.'",
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"type": "char",
"var_name": "NAMESPACE_SEPARATOR"
},
{
"declarator": "namespace",
"modifier": ... | {
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"constructor": false,
"full_signature": "@Override public String toString()",
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"invocations": [
"getQualifiedName"
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"modifi... | {
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"url": "https://github.com/improbable-research/keanu"
} |
128393918_99 | {
"fields": [
{
"declarator": "Amu",
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"original_string": "DoubleVertex Amu;",
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"var_name": "Amu"
},
{
"declarator": "Asigma",
"modifier": "",
"original_string": "DoubleVertex Asigma;",
"type": "DoubleVertex",
... | {
"body": "@Test\n public void doesGetAllDownstreamVertices() {\n TransitiveClosure transitiveClosure = TransitiveClosure.getDownstreamVertices(A, true);\n assertThat(transitiveClosure.getAllVertices(), containsInAnyOrder(A, aPlusB, C));\n }",
"class_method_signature": "TransitiveClosureTest.doe... | {
"fields": [
{
"declarator": "ADD_ALL = vertex -> true",
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"type": "Predicate<Vertex>",
"var_name": "ADD_ALL"
},
{
"declarator": "PROBABILISTIC_OR_O... | {
"body": "public static TransitiveClosure getDownstreamVertices(Vertex<?, ?> aVertex, boolean includeNonProbabilistic) {\n return getDownstreamVerticesForCollection(Collections.singletonList(aVertex), includeNonProbabilistic);\n }",
"class_method_signature": "TransitiveClosure.getDownstreamVertices(Verte... | {
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"url": "https://github.com/improbable-research/keanu"
} |
128393918_118 | {
"fields": [
{
"declarator": "epsilon = 0.01",
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"type": "double",
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},
{
"declarator": "N = 100000",
"modifier": "private static",
"original_string"... | {
"body": "@Test\n public void cantCreateCategoricalVertexIfNonScalarShapeDoNotMatchProposedShape() {\n Map<TestEnum, DoubleVertex> selectableValues = new LinkedHashMap<>();\n selectableValues.put(TestEnum.A, ConstantVertex.of(t1));\n\n long[] proposalShape = new long[]{3, 5, 6};\n\n th... | {
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{
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}
],
"file": "keanu-project/src/main/java/io/... | {
"body": "public static <CATEGORY> CategoricalVertex<CATEGORY> of(\n Map<CATEGORY, Double> selectableValues\n ) {\n return new CategoricalVertex<>(toDoubleVertices(selectableValues));\n }",
"class_method_signature": "CategoricalVertex.of(\n Map<CATEGORY, Double> selectableValues\n )",... | {
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"url": "https://github.com/improbable-research/keanu"
} |
128393918_231 | {
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{
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"type": "ExpectedException",
"var_name": "expectedException"
}
... | {
"body": "@Test\n public void aVertexLabelsWithANamespaceIsNoteEqualToOneWithoutANamespace() {\n VertexLabel foo1 = new VertexLabel(\"namespace\", \"foo\");\n VertexLabel foo2 = new VertexLabel(\"foo\");\n assertThat(foo1, not(equalTo(foo2)));\n assertThat(foo1.hashCode(), not(equalTo(... | {
"fields": [
{
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"var_name": "NAMESPACE_SEPARATOR"
},
{
"declarator": "namespace",
"modifier": ... | {
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"constructor": false,
"full_signature": "@Override public int hashCode()",
"identifier": "hashCode",
"invocations": [
"hash"
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"modifiers":... | {
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"stars": null,
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"url": "https://github.com/improbable-research/keanu"
} |
128393918_60 | {
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{
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"var_name": "progressUpdateCall"
},
{
"declarator": "statusBar",
"modifier":... | {
"body": "@Test\n public void doesPrintProgressInAppropriateFormat() {\n StatusBar.enable();\n\n percentageComponent.progress(0.0);\n progressUpdateCall.get().run();\n percentageComponent.progress(0.675);\n statusBar.finish();\n\n String result = getResultWithNewLinesInst... | {
"fields": [
{
"declarator": "percentage = new AtomicDouble(0.0)",
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"type": "AtomicDouble",
"var_name": "percentage"
}
],
"file": "keanu-project/src/main/java/io/improbable/k... | {
"body": "public void progress(double percentage) {\n this.percentage.set(percentage);\n }",
"class_method_signature": "PercentageComponent.progress(double percentage)",
"constructor": false,
"full_signature": "public void progress(double percentage)",
"identifier": "progress",
"invocations": [
... | {
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"url": "https://github.com/improbable-research/keanu"
} |
128393918_37 | {
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"var_name": "thrown"
}
],
"file": "keanu-project/src/t... | {
"body": "@Test\n public void canStackIfDimensionIsNegative() {\n BooleanTensor matrixD = BooleanTensor.create(new boolean[]{true, false}, 1, 2);\n assertThat(BooleanTensor.create(true, false, true, false).reshape(2, 1, 2), valuesAndShapesMatch(BooleanTensor.stack(-3, matrixD, matrixD)));\n a... | {
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{
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"type": "BooleanBuffer.BooleanArrayWrapperFactory",
"var_name": "f... | {
"body": "@Override\n protected JVMBooleanTensor create(BooleanBuffer.PrimitiveBooleanWrapper buffer, long[] shape, long[] stride) {\n return new JVMBooleanTensor(buffer, shape, stride);\n }",
"class_method_signature": "JVMBooleanTensor.create(BooleanBuffer.PrimitiveBooleanWrapper buffer, long[] shape... | {
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"url": "https://github.com/improbable-research/keanu"
} |
128393918_266 | {
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"identifier": "NetworkSamplesGeneratorTest",
"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void doesUpdateProgressAndFinishProgressWhenStreaming() {\n StatusBar progressBar = mock(StatusBar.class);\n TestSamplingAlgorithm algorithm = new TestSamplingAlgorithm(new AtomicInteger(0), new AtomicInteger(0));\n Stream<NetworkSample> sampleStream = new NetworkSamp... | {
"fields": [
{
"declarator": "algorithm",
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},
{
"declarator": "dropCount = 0",
"modifier": "private",
"original... | {
"body": "public Stream<NetworkSample> stream() {\n\n StatusBar statusBar = statusBarSupplier.get();\n\n dropSamples(dropCount, statusBar);\n\n final AtomicInteger sampleNumber = new AtomicInteger(0);\n return Stream.generate(() -> {\n\n sampleNumber.getAndIncrement();\n\n ... | {
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"url": "https://github.com/improbable-research/keanu"
} |
128393918_289 | {
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"file": "keanu-project/src/test/java/io/improbable/keanu/algorithms/mcmc/nuts/AdaptiveStepSizeTest.java",
"identifier": "AdaptiveStepSizeTest",
"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void canUseSimpleHeuristicForInitialStepSize() {\n\n double stepScale = 0.25;\n double startingStepSizeSimple = AdaptiveStepSize.findStartingStepSize(stepScale, ImmutableList.of(\n ConstantVertex.of(DoubleTensor.arange(0, 5)),\n ConstantVertex.of(Double... | {
"fields": [
{
"declarator": "t0 = 10",
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"type": "double",
"var_name": "t0"
},
{
"declarator": "gamma = 0.05",
"modifier": "private static final",
"original_string... | {
"body": "public static double findStartingStepSize(double stepScale, List<? extends Variable<DoubleTensor, ?>> variables) {\n long N = variables.stream()\n .mapToLong(v -> v.getValue().getLength())\n .sum();\n\n return stepScale / Math.pow(N, 0.25);\n }",
"class_method_signa... | {
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} |
128393918_323 | {
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... | {
"body": "@Test\n public void shouldAllowObservationChange() {\n\n GaussianVertex A = new GaussianVertex(0, 1);\n GaussianVertex B = new GaussianVertex(A.abs(), 1);\n A.observe(2.0);\n\n GradientOptimizer optimizer = Keanu.Optimizer.Gradient.ofConnectedGraph(B);\n optimizer.maxA... | {
"fields": [
{
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"var_name": "FLAT_GRADIENT"
},
{
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"... | {
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"constructor": false,
"full_signature": "@Override public OptimizedResult maxAPosteriori()",
"identifier": "maxAPosteri... | {
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} |
128393918_354 | {
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"interfaces": "",
"superclass": ""
} | {
"body": "@Test\n public void shouldFindCorrectSwitchYear() {\n\n //Load data from a csv file\n Data coalMiningDisasterData = Data.load(\"coal-mining-disaster-data.csv\");\n\n //create my model using the data\n Model model = new Model(coalMiningDisasterData);\n model.run();\n\n ... | {
"fields": [
{
"declarator": "log = LoggerFactory.getLogger(Model.class)",
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"var_name": "log"
},
{
"declarator": "earlyRat... | {
"body": "public void run() {\n KeanuProbabilisticModel model = new KeanuProbabilisticModel(buildBayesianNetwork());\n Integer numSamples = 500;\n\n results = Keanu.Sampling.MetropolisHastings.withDefaultConfig().generatePosteriorSamples(\n model,\n model.getLatentVariables... | {
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} |
128393918_211 | {
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"var_name": "myRule"
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],
"file": "keanu-project/src/tes... | {
"body": "@Test\n public void logProbGraphIsNegativeInfinityIfPGreaterThanOrEqualToOne() {\n DoubleVertex p = ConstantVertex.of(1.);\n GeometricVertex myVertex = new GeometricVertex(p);\n LogProbGraph logProbGraph = myVertex.logProbGraph();\n LogProbGraphValueFeeder.feedValue(logProbGr... | {
"fields": [
{
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{
"declarator": "P_NAME = \"p\"",
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"original_string": "private f... | {
"body": "@Override\n public LogProbGraph logProbGraph() {\n IntegerPlaceholderVertex valuePlaceholder = new IntegerPlaceholderVertex(this.getShape());\n DoublePlaceholderVertex pPlaceholder = new DoublePlaceholderVertex(p.getShape());\n\n return LogProbGraph.builder()\n .input(thi... | {
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} |
128393918_40 | {
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],
"file": "keanu-project/src/t... | {
"body": "@Test\n public void canBroadcastAnd() {\n BooleanTensor a = BooleanTensor.create(\n true, true, false,\n true, true, true\n ).reshape(2, 3);\n\n BooleanTensor b = BooleanTensor.create(true, false, true);\n\n BooleanTensor actual = a.and(b);\n Bool... | {
"fields": [
{
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"type": "BooleanBuffer.BooleanArrayWrapperFactory",
"var_name": "f... | {
"body": "@Override\n protected JVMBooleanTensor create(BooleanBuffer.PrimitiveBooleanWrapper buffer, long[] shape, long[] stride) {\n return new JVMBooleanTensor(buffer, shape, stride);\n }",
"class_method_signature": "JVMBooleanTensor.create(BooleanBuffer.PrimitiveBooleanWrapper buffer, long[] shape... | {
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} |
128393918_138 | {
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],
"file": "keanu-project/src/t... | {
"body": "@Test\n public void canConcatenateAutoDiffOfManyMatricesAlongDimensionZero() {\n UniformVertex sharedMatrix = new UniformVertex(0, 10);\n sharedMatrix.setValue(DoubleTensor.create(new double[]{1, 2, 3, 4}, 2, 2));\n\n UniformVertex a = new UniformVertex(0, 10);\n a.setValue(D... | {
"fields": [
{
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{
"declarator": "OPERANDS_NAME = \"ope... | {
"body": "public static ForwardModePartialDerivative concat(List<ForwardModePartialDerivative> partialsOfOperands,\n List<DoubleTensor> operandValues,\n int dimension) {\n\n long[] wrtShape = null;\n ... | {
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} |
128393918_1 | {
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} | {
"body": "@Test\n public void canCalculateLength() {\n long[] shape = new long[]{2, 3, 7, 4};\n assertEquals(168, TensorShape.getLength(shape));\n }",
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"constructor": false,
"full_signature": "@Test public void canCalculateLen... | {
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{
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}
],
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"interfaces... | {
"body": "public static long getLength(long[] shape) {\n long length = 1;\n for (long dim : shape) {\n length *= dim;\n }\n return length;\n }",
"class_method_signature": "TensorShape.getLength(long[] shape)",
"constructor": false,
"full_signature": "public static long... | {
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} |
128393918_303 | {
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{
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{
"declarator": "samples... | {
"body": "@Test(expected = IllegalArgumentException.class)\n public void doesCatchInvalidDropCount() {\n samples.drop(-1);\n }",
"class_method_signature": "NetworkSamplesTest.doesCatchInvalidDropCount()",
"constructor": false,
"full_signature": "@Test(expected = IllegalArgumentException.class) pub... | {
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{
"declarator": "samplesByVariable",
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"type": "Map<VariableReference, ? extends List>",
"var_name": "samplesByVariable"
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{
"declarat... | {
"body": "public NetworkSamples drop(int dropCount) {\n Preconditions.checkArgument(dropCount >= 0, \"Cannot drop %s samples. Drop count must be positive.\", dropCount);\n if (dropCount == 0) {\n return this;\n }\n\n final Map<VariableReference, List<?>> withSamplesDropped = sa... | {
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} |
128393918_17 | {
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{
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{
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"original_str... | {
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"class_method_signature": "TensorShapeValidationT... | {
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"methods": [
{
"class_method_signature": "TensorShapeValidation.TensorShapeValidation()",
"constructor": true,
"full_signa... | {
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128393918_246 | {
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... | {
"body": "@Test\n public void isNotInNamespaceWithDifferentInner() {\n VertexLabel label = new VertexLabel(\"outer\", \"inner\", \"foo\");\n assertFalse(label.isInNamespace(\"outer\", \"differentInner\"));\n }",
"class_method_signature": "VertexLabelTest.isNotInNamespaceWithDifferentInner()",
... | {
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{
"declarator": "namespace",
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128393918_180 | {
"fields": [
{
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{
"declarator": "random",
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"fields": [
{
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{
"declarator": "RATE_NAME = \"rate\"",
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128393918_315 | {
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"declarator": "qDist",... | {
"body": "@Test\n public void throwsExceptionIfPProbIsNotZeroButQIs() {\n when(qDist.getLogOfMasterP(any(NetworkState.class))).thenReturn(Double.NEGATIVE_INFINITY);\n NetworkSamples samples = createNetworkSamplesWithOneVertexAndOneSample(Math.log(0.5));\n\n thrown.expect(IllegalArgumentExcept... | {
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"class_method_signature": "KLDivergence.compute(QDistribution q, NetworkSamples p)",
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"constructor": false,
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128393918_250 | {
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"declarator": "B",
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"type": "Double... | {
"body": "@Test\n public void canConvertSimpleGraphToComputationalGraph() {\n String cLabel = \"C\";\n DoubleVertex C = A.plus(B);\n C.getValue();\n C.setLabel(cLabel);\n\n List<Vertex> toposortedGraph = C.getConnectedGraph().stream()\n .sorted(Comparator.comparing(Ve... | {
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{
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"... | {
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128393918_179 | {
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"declarator": "random",
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{
"declarator": "RATE_NAME = \"rate\"",
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128393918_196 | {
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} | {
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{
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128393918_342 | {
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{
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128393918_56 | {
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"declarator": "complexNetDotSaver",
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"fields": [
{
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{
"declarato... | {
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128393918_207 | {
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],
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"body": "@Test\n public void logProbIsCorrectScalar() {\n double p = 0.25;\n GeometricVertex myVertex = new GeometricVertex(p);\n\n for (int i = 1; i < 20; i++) {\n assertEquals(getExpectedPmf(p, i), myVertex.logProb(IntegerTensor.create(i)), 1e-6);\n }\n }",
"class_me... | {
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{
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128393918_293 | {
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"body": "@Test\n public void doesRejectWhenRejectProbabilityIsOne() {\n DoubleVertex A = new GaussianVertex(0, 1);\n A.setValue(0.5);\n DoubleVertex B = A.times(2);\n DoubleVertex C = new GaussianVertex(B, 1);\n C.observe(5.0);\n ProbabilisticModel model = new KeanuProba... | {
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{
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{
"declarator": "model",
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"body": "public StepResult step(final Set<Variable> chosenVariables,\n final double logProbabilityBeforeStep) {\n return step(chosenVariables, logProbabilityBeforeStep, DEFAULT_TEMPERATURE);\n }",
"class_method_signature": "MetropolisHastingsStep.step(final Set<Variable> chosen... | {
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128393918_339 | {
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"body": "@Test(expected = IllegalArgumentException.class)\n public void youCannotAddTheSameLabelTwiceIntoOneSequenceItem() {\n new SequenceBuilder<Integer>()\n .count(10)\n .withFactory((item) -> {\n VertexLabel label = new VertexLabel(\"x\");\n DoubleVe... | {
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128393918_155 | {
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{
"declarator": "thrown = ExpectedException.none()",
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{
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{
"declarator": "CONCENTRATION_NAME = \"concentration\"",
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128393918_95 | {
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"declarator": "network... | {
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{
"declarator": "vertexLabels",
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... | {
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"class_method_signature": "BayesianNetwork.getVert... | {
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} |
128393918_102 | {
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128393918_83 | {
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128393918_114 | {
"fields": [
{
"declarator": "N = 100000",
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"original_string": "private int N = 100000;",
"type": "int",
"var_name": "N"
},
{
"declarator": "epsilon = 0.01",
"modifier": "private",
"original_string": "private double epsilon = 0.01;",
... | {
"body": "@Test\n public void canStaticMuxWithIntegerSelect() {\n assertEquals(MultiplexerVertex.mux(IntegerTensor.scalar(0), \"a\", \"b\", \"c\"), \"a\");\n assertEquals(MultiplexerVertex.mux(IntegerTensor.scalar(1), \"a\", \"b\", \"c\"), \"b\");\n assertEquals(MultiplexerVertex.mux(IntegerT... | {
"fields": [
{
"declarator": "SELECTOR_CONTROL_NAME = \"selectorControlVertex\"",
"modifier": "private final static",
"original_string": "private final static String SELECTOR_CONTROL_NAME = \"selectorControlVertex\";",
"type": "String",
"var_name": "SELECTOR_CONTROL_NAME"
},
... | {
"body": "public static <T> T mux(IntegerTensor select, T... outputs) {\n return outputs[select.scalar()];\n }",
"class_method_signature": "MultiplexerVertex.mux(IntegerTensor select, T... outputs)",
"constructor": false,
"full_signature": "public static T mux(IntegerTensor select, T... outputs)",
... | {
"created": null,
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"is_fork": false,
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"size": 15461,
"stargazer_count": 146,
"stars": null,
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"url": "https://github.com/improbable-research/keanu"
} |
128393918_285 | {
"fields": [
{
"declarator": "rule = new DeterministicRule()",
"modifier": "@Rule\n public",
"original_string": "@Rule\n public DeterministicRule rule = new DeterministicRule();",
"type": "DeterministicRule",
"var_name": "rule"
}
],
"file": "keanu-project/src/test/java... | {
"body": "@Test(expected = IllegalArgumentException.class)\n public void doesValidateMaxTreeHeight() {\n NUTS.builder().maxTreeHeight(0);\n }",
"class_method_signature": "NUTSTest.doesValidateMaxTreeHeight()",
"constructor": false,
"full_signature": "@Test(expected = IllegalArgumentException.class... | {
"fields": [
{
"declarator": "random",
"modifier": "@Getter\n private final",
"original_string": "@Getter\n private final KeanuRandom random;",
"type": "KeanuRandom",
"var_name": "random"
},
{
"declarator": "targetAcceptanceProb",
"modifier": "@Getter\n ... | {
"body": "public static NUTSBuilder builder() {\n return new NUTSBuilder();\n }",
"class_method_signature": "NUTS.builder()",
"constructor": false,
"full_signature": "public static NUTSBuilder builder()",
"identifier": "builder",
"invocations": [],
"modifiers": "public static",
"parameters": ... | {
"created": null,
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"fork_count": 33,
"is_fork": false,
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"repo_id": 128393918,
"size": 15461,
"stargazer_count": 146,
"stars": null,
"updates": null,
"url": "https://github.com/improbable-research/keanu"
} |
128393918_143 | {
"fields": [
{
"declarator": "values = ImmutableList.of(\n DoubleTensor.create(new double[]{0, 16, 4}, 1, 3),\n DoubleTensor.create(new double[]{-4, -8, 4}, 1, 3),\n DoubleTensor.create(new double[]{8, -4, 12}, 1, 3),\n DoubleTensor.create(new double[]{4, 4, 8}, 1, 3)\n )",
... | {
"body": "@Test\n public void canGetAutocorrelationOnScalarSample() {\n List<DoubleTensor> sampleValues = ImmutableList.of(\n DoubleTensor.create(0, Tensor.SCALAR_SHAPE),\n DoubleTensor.create(-4, Tensor.SCALAR_SHAPE),\n DoubleTensor.create(8, Tensor.SCALAR_SHAPE),\n ... | {
"fields": [
{
"declarator": "sampleShape[]",
"modifier": "private final",
"original_string": "private final long sampleShape[];",
"type": "long",
"var_name": "sampleShape"
}
],
"file": "keanu-project/src/main/java/io/improbable/keanu/vertices/tensor/number/floating/dbl/Doub... | {
"body": "public DoubleTensor getAutocorrelation(long... index) {\n TensorShapeValidation.checkIndexIsValid(sampleShape, index);\n long[] indexToGet = getCorrectIndexIfScalar(index);\n double[] sampleValuesAtIndex = samples.stream()\n .mapToDouble(x -> x.getValue(indexToGet))\n ... | {
"created": null,
"fork": null,
"fork_count": 33,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 128393918,
"size": 15461,
"stargazer_count": 146,
"stars": null,
"updates": null,
"url": "https://github.com/improbable-research/keanu"
} |
128393918_142 | {
"fields": [
{
"declarator": "values = ImmutableList.of(\n DoubleTensor.create(new double[]{0, 16, 4}, 1, 3),\n DoubleTensor.create(new double[]{-4, -8, 4}, 1, 3),\n DoubleTensor.create(new double[]{8, -4, 12}, 1, 3),\n DoubleTensor.create(new double[]{4, 4, 8}, 1, 3)\n )",
... | {
"body": "@Test\n public void doesCalculateAutocorrelation() {\n List<DoubleTensor> expectedAutocorrelations = ImmutableList.of(\n DoubleTensor.create(new double[]{1, -0.15, -0.3, -0.05}, new long[]{1, 4}),\n DoubleTensor.create(new double[]{1., -0.27380952, -0.30952381, 0.08333333}, ... | {
"fields": [
{
"declarator": "sampleShape[]",
"modifier": "private final",
"original_string": "private final long sampleShape[];",
"type": "long",
"var_name": "sampleShape"
}
],
"file": "keanu-project/src/main/java/io/improbable/keanu/vertices/tensor/number/floating/dbl/Doub... | {
"body": "public DoubleTensor getAutocorrelation(long... index) {\n TensorShapeValidation.checkIndexIsValid(sampleShape, index);\n long[] indexToGet = getCorrectIndexIfScalar(index);\n double[] sampleValuesAtIndex = samples.stream()\n .mapToDouble(x -> x.getValue(indexToGet))\n ... | {
"created": null,
"fork": null,
"fork_count": 33,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 128393918,
"size": 15461,
"stargazer_count": 146,
"stars": null,
"updates": null,
"url": "https://github.com/improbable-research/keanu"
} |
128393918_284 | {
"fields": [
{
"declarator": "rule = new DeterministicRule()",
"modifier": "@Rule\n public",
"original_string": "@Rule\n public DeterministicRule rule = new DeterministicRule();",
"type": "DeterministicRule",
"var_name": "rule"
}
],
"file": "keanu-project/src/test/java... | {
"body": "@Test(expected = IllegalArgumentException.class)\n public void doesValidateMaxEnergyChange() {\n NUTS.builder().maxEnergyChange(-0.1);\n }",
"class_method_signature": "NUTSTest.doesValidateMaxEnergyChange()",
"constructor": false,
"full_signature": "@Test(expected = IllegalArgumentExcept... | {
"fields": [
{
"declarator": "random",
"modifier": "@Getter\n private final",
"original_string": "@Getter\n private final KeanuRandom random;",
"type": "KeanuRandom",
"var_name": "random"
},
{
"declarator": "targetAcceptanceProb",
"modifier": "@Getter\n ... | {
"body": "public static NUTSBuilder builder() {\n return new NUTSBuilder();\n }",
"class_method_signature": "NUTS.builder()",
"constructor": false,
"full_signature": "public static NUTSBuilder builder()",
"identifier": "builder",
"invocations": [],
"modifiers": "public static",
"parameters": ... | {
"created": null,
"fork": null,
"fork_count": 33,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 128393918,
"size": 15461,
"stargazer_count": 146,
"stars": null,
"updates": null,
"url": "https://github.com/improbable-research/keanu"
} |
128393918_115 | {
"fields": [
{
"declarator": "epsilon = 0.01",
"modifier": "private static",
"original_string": "private static double epsilon = 0.01;",
"type": "double",
"var_name": "epsilon"
},
{
"declarator": "N = 100000",
"modifier": "private static",
"original_string"... | {
"body": "@Test\n public void cantCreateCategoricalVertexIfShapeIsNotSpecifiedAndNonScalarShapesDoNotMatch() {\n DoubleTensor t2 = DoubleTensor.create(new double[]{0., 0.5, 0.8, 0.2}, 4, 1);\n Map<TestEnum, DoubleVertex> selectableValues = new LinkedHashMap<>();\n selectableValues.put(TestEnu... | {
"fields": [
{
"declarator": "selectableValues",
"modifier": "private final",
"original_string": "private final Map<CATEGORY, DoubleVertex> selectableValues;",
"type": "Map<CATEGORY, DoubleVertex>",
"var_name": "selectableValues"
}
],
"file": "keanu-project/src/main/java/io/... | {
"body": "public static <CATEGORY> CategoricalVertex<CATEGORY> of(\n Map<CATEGORY, Double> selectableValues\n ) {\n return new CategoricalVertex<>(toDoubleVertices(selectableValues));\n }",
"class_method_signature": "CategoricalVertex.of(\n Map<CATEGORY, Double> selectableValues\n )",... | {
"created": null,
"fork": null,
"fork_count": 33,
"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 128393918,
"size": 15461,
"stargazer_count": 146,
"stars": null,
"updates": null,
"url": "https://github.com/improbable-research/keanu"
} |
128393918_82 | {
"fields": [
{
"declarator": "expectedException = ExpectedException.none()",
"modifier": "@Rule\n public",
"original_string": "@Rule\n public ExpectedException expectedException = ExpectedException.none();",
"type": "ExpectedException",
"var_name": "expectedException"
}
... | {
"body": "@Test\n public void canCreateDoubleArrayFromByteArray() {\n byte byte1 = Byte.parseByte(\"01000000\", 2);\n byte byte2 = Byte.parseByte(\"00011000\", 2);\n byte byte3 = Byte.parseByte(\"00001000\", 2);\n byte zeroByte = Byte.parseByte(\"00000000\", 2);\n byte[] bytes =... | {
"fields": [],
"file": "keanu-project/src/main/java/io/improbable/keanu/util/Py4jByteArrayConverter.java",
"identifier": "Py4jByteArrayConverter",
"interfaces": "",
"methods": [
{
"class_method_signature": "Py4jByteArrayConverter.toByteArray(double[] doubleArray)",
"constructor": false,
... | {
"body": "public static double[] toDoubleArray(byte[] byteArray) {\n double[] doubles = new double[byteArray.length / Double.BYTES];\n for (int i = 0; i < doubles.length; i++) {\n doubles[i] = ByteBuffer.wrap(byteArray, i * Double.BYTES, Double.BYTES).order(ByteOrder.LITTLE_ENDIAN).getDouble... | {
"created": null,
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"is_fork": false,
"language": "Java",
"license": "licensed",
"repo_id": 128393918,
"size": 15461,
"stargazer_count": 146,
"stars": null,
"updates": null,
"url": "https://github.com/improbable-research/keanu"
} |
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