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83e290956b1feef4272c78b5
train
function
def p_c_arg_list(s, ctx = Ctx(), in_pyfunc = 0, cmethod_flag = 0, nonempty_declarators = 0, kw_only = 0, annotated = 1): # Comma-separated list of C argument declarations, possibly empty. # May have a trailing comma. args = [] is_self_arg = cmethod_flag while s.sy not in c_arg_lis...
def p_c_arg_list(s, ctx = Ctx(), in_pyfunc = 0, cmethod_flag = 0, nonempty_declarators = 0, kw_only = 0, annotated = 1): # Comma-separated list of C argument declarations, possibly empty. # May have a trailing comma.
args = [] is_self_arg = cmethod_flag while s.sy not in c_arg_list_terminators: args.append(p_c_arg_decl(s, ctx, in_pyfunc, is_self_arg, nonempty = nonempty_declarators, kw_only = kw_only, annotated = annotated)) if s.sy != ',': break s.next() ...
def p_c_arg_list(s, ctx = Ctx(), in_pyfunc = 0, cmethod_flag = 0, nonempty_declarators = 0, kw_only = 0, annotated = 1): # Comma-separated list of C argument declarations, possibly empty. # May have a trailing comma.
71
64
163
71
0
0101011/cython
Cython/Compiler/Parsing.py
Python
p_c_arg_list
p_c_arg_list
2,970
2,984
2,970
2,973
a90baf6d4c923f5cfed1ec6f9cca834d54b14a78
bigcode/the-stack
train
2d3e5e099715429ce1a3c291
train
function
def p_new_expr(s): # s.systring == 'new'. pos = s.position() s.next() cppclass = p_c_base_type(s) return p_call(s, ExprNodes.NewExprNode(pos, cppclass = cppclass))
def p_new_expr(s): # s.systring == 'new'.
pos = s.position() s.next() cppclass = p_c_base_type(s) return p_call(s, ExprNodes.NewExprNode(pos, cppclass = cppclass))
if s.sy == '**': pos = s.position() s.next() n2 = p_factor(s) n1 = ExprNodes.binop_node(pos, '**', n1, n2) return n1 def p_new_expr(s): # s.systring == 'new'.
64
64
54
15
48
0101011/cython
Cython/Compiler/Parsing.py
Python
p_new_expr
p_new_expr
430
435
430
431
6aa33fedbda3ad715c2eaff1abb9edff7f5a7d6b
bigcode/the-stack
train
6997d742a2db613e083fd1f5
train
function
def p_if_clause(s): pos = s.position() test = p_test(s) body = p_suite(s) return Nodes.IfClauseNode(pos, condition = test, body = body)
def p_if_clause(s):
pos = s.position() test = p_test(s) body = p_suite(s) return Nodes.IfClauseNode(pos, condition = test, body = body)
)] while s.sy == 'elif': s.next() if_clauses.append(p_if_clause(s)) else_clause = p_else_clause(s) return Nodes.IfStatNode(pos, if_clauses = if_clauses, else_clause = else_clause) def p_if_clause(s):
64
64
43
6
58
0101011/cython
Cython/Compiler/Parsing.py
Python
p_if_clause
p_if_clause
1,834
1,839
1,834
1,834
9fcf87ee6f263a4aaa82d71bfcbbdaedee8319ae
bigcode/the-stack
train
8c3588c15e13338c76d725fc
train
function
def p_del_statement(s): # s.sy == 'del' pos = s.position() s.next() # FIXME: 'exprlist' in Python args = p_simple_expr_list(s) return Nodes.DelStatNode(pos, args = args)
def p_del_statement(s): # s.sy == 'del'
pos = s.position() s.next() # FIXME: 'exprlist' in Python args = p_simple_expr_list(s) return Nodes.DelStatNode(pos, args = args)
additional 'in' arguments", fatal=False) s.next() args.append(p_test(s)) if s.sy == ',': s.next() args.append(p_test(s)) return Nodes.ExecStatNode(pos, args=args) def p_del_statement(s): # s.sy == 'del'
64
64
56
14
50
0101011/cython
Cython/Compiler/Parsing.py
Python
p_del_statement
p_del_statement
1,594
1,600
1,594
1,595
81884e96c1ec3eeb068229b25017d8a9232e3cde
bigcode/the-stack
train
294f94f7c70fc4403d1d39aa
train
function
def looking_at_name(s): return s.sy == 'IDENT' and not s.systring in calling_convention_words
def looking_at_name(s):
return s.sy == 'IDENT' and not s.systring in calling_convention_words
axis specification in memoryview declaration does not have a ':'.") s.expect(']') indexes = make_slice_nodes(pos, subscripts) result = Nodes.MemoryViewSliceTypeNode(pos, base_type_node = base_type_node, axes = indexes) return result def looking_at_name(s):
64
64
25
6
57
0101011/cython
Cython/Compiler/Parsing.py
Python
looking_at_name
looking_at_name
2,656
2,657
2,656
2,656
b93b4eb74763df607becea5b1eefb397d13d814e
bigcode/the-stack
train
40877d1e6a7c07433be69d0f
train
function
def p_print_statement(s): # s.sy == 'print' pos = s.position() ends_with_comma = 0 s.next() if s.sy == '>>': s.next() stream = p_test(s) if s.sy == ',': s.next() ends_with_comma = s.sy in ('NEWLINE', 'EOF') else: stream = None args = []...
def p_print_statement(s): # s.sy == 'print'
pos = s.position() ends_with_comma = 0 s.next() if s.sy == '>>': s.next() stream = p_test(s) if s.sy == ',': s.next() ends_with_comma = s.sy in ('NEWLINE', 'EOF') else: stream = None args = [] if s.sy not in ('NEWLINE', 'EOF'): ...
== 2: return Nodes.SingleAssignmentNode(rhs.pos, lhs=expr_list[0], rhs=rhs) else: return Nodes.CascadedAssignmentNode(rhs.pos, lhs_list=expr_list[:-1], rhs=rhs) def p_print_statement(s): # s.sy == 'print'
64
64
196
14
50
0101011/cython
Cython/Compiler/Parsing.py
Python
p_print_statement
p_print_statement
1,539
1,564
1,539
1,540
c1961632c024592e000f7fba329f6cb327f52425
bigcode/the-stack
train
ecbfe03a1223302e340dc17e
train
function
def p_calling_convention(s): if s.sy == 'IDENT' and s.systring in calling_convention_words: result = s.systring s.next() return result else: return ""
def p_calling_convention(s):
if s.sy == 'IDENT' and s.systring in calling_convention_words: result = s.systring s.next() return result else: return ""
self argument of a C method of an extension type. if s.sy == '(': return p_c_complex_base_type(s, templates = templates) else: return p_c_simple_base_type(s, self_flag, nonempty = nonempty, templates = templates) def p_calling_convention(s):
64
64
47
8
56
0101011/cython
Cython/Compiler/Parsing.py
Python
p_calling_convention
p_calling_convention
2,435
2,441
2,435
2,435
55c7a94c13717b603bd2676801471b1faeae4545
bigcode/the-stack
train
9e2681a490a86ec3c29c8ca9
train
function
def p_or_test(s): return p_rassoc_binop_expr(s, ('or',), p_and_test)
def p_or_test(s):
return p_rassoc_binop_expr(s, ('or',), p_and_test)
_test | lambdef_nocond def p_test_nocond(s): if s.sy == 'lambda': return p_lambdef_nocond(s) else: return p_or_test(s) #or_test: and_test ('or' and_test)* def p_or_test(s):
64
64
24
6
57
0101011/cython
Cython/Compiler/Parsing.py
Python
p_or_test
p_or_test
162
163
162
162
5e4819b2149ca86679e06878b5c96b30d1e98884
bigcode/the-stack
train
6eb8e37688819c22b8322984
train
class
class Ctx(object): # Parsing context level = 'other' visibility = 'private' cdef_flag = 0 typedef_flag = 0 api = 0 overridable = 0 nogil = 0 namespace = None templates = None allow_struct_enum_decorator = False def __init__(self, **kwds): self.__dict__.update(kw...
class Ctx(object): # Parsing context
level = 'other' visibility = 'private' cdef_flag = 0 typedef_flag = 0 api = 0 overridable = 0 nogil = 0 namespace = None templates = None allow_struct_enum_decorator = False def __init__(self, **kwds): self.__dict__.update(kwds) def __call__(self, **kwds): ...
Future from . import Options _IS_PY3 = sys.version_info[0] >= 3 _IS_2BYTE_UNICODE = sys.maxunicode == 0xffff _CDEF_MODIFIERS = ('inline', 'nogil', 'api') class Ctx(object): # Parsing context
64
64
140
11
53
0101011/cython
Cython/Compiler/Parsing.py
Python
Ctx
Ctx
42
63
42
43
bf37c5a6e0251b544b0813acf51ac16e5efac08a
bigcode/the-stack
train
f6592825a79f71ea3c87dc37
train
function
def p_decorators(s): decorators = [] while s.sy == '@': pos = s.position() s.next() decstring = p_dotted_name(s, as_allowed=0)[2] names = decstring.split('.') decorator = ExprNodes.NameNode(pos, name=s.context.intern_ustring(names[0])) for name in names[1:]: ...
def p_decorators(s):
decorators = [] while s.sy == '@': pos = s.position() s.next() decstring = p_dotted_name(s, as_allowed=0)[2] names = decstring.split('.') decorator = ExprNodes.NameNode(pos, name=s.context.intern_ustring(names[0])) for name in names[1:]: decorator = Ex...
error in ctypedef statement", ignore_semicolon=True) return Nodes.CTypeDefNode( pos, base_type = base_type, declarator = declarator, visibility = visibility, api = api, in_pxd = ctx.level == 'module_pxd') def p_decorators(s):
64
64
157
7
57
0101011/cython
Cython/Compiler/Parsing.py
Python
p_decorators
p_decorators
3,362
3,377
3,362
3,362
44c21b246ae1b35ffe131458d879d841f995a9c1
bigcode/the-stack
train
01e3840cd99529a15b5fe1a7
train
function
def p_yield_expression(s): # s.sy == "yield" pos = s.position() s.next() is_yield_from = False if s.sy == 'from': is_yield_from = True s.next() if s.sy != ')' and s.sy not in statement_terminators: # "yield from" does not support implicit tuples, but "yield" does ("yield ...
def p_yield_expression(s): # s.sy == "yield"
pos = s.position() s.next() is_yield_from = False if s.sy == 'from': is_yield_from = True s.next() if s.sy != ')' and s.sy not in statement_terminators: # "yield from" does not support implicit tuples, but "yield" does ("yield 1,2") arg = p_test(s) if is_yield_from el...
declarator = p_c_declarator(s, empty = 1) node = ExprNodes.SizeofTypeNode(pos, base_type = base_type, declarator = declarator) s.expect(')') return node def p_yield_expression(s): # s.sy == "yield"
64
64
185
15
48
0101011/cython
Cython/Compiler/Parsing.py
Python
p_yield_expression
p_yield_expression
360
379
360
361
dc8330aadd2f896e2b9e851486955c601ed9fb1c
bigcode/the-stack
train
f3a7c7820c229cbd630e1bde
train
function
def p_ident_list(s): names = [] while s.sy == 'IDENT': names.append(s.context.intern_ustring(s.systring)) s.next() if s.sy != ',': break s.next() return names
def p_ident_list(s):
names = [] while s.sy == 'IDENT': names.append(s.context.intern_ustring(s.systring)) s.next() if s.sy != ',': break s.next() return names
.update(kwds) return ctx def p_ident(s, message="Expected an identifier"): if s.sy == 'IDENT': name = s.context.intern_ustring(s.systring) s.next() return name else: s.error(message) def p_ident_list(s):
64
64
54
6
58
0101011/cython
Cython/Compiler/Parsing.py
Python
p_ident_list
p_ident_list
74
82
74
74
fbde56e43ac1d278e9a95bf2b04d8881dbb2bd68
bigcode/the-stack
train
ecb44eeec1ac79465646312a
train
function
def p_cdef_extern_block(s, pos, ctx): if ctx.overridable: error(pos, "cdef extern blocks cannot be declared cpdef") include_file = None s.expect('from') if s.sy == '*': s.next() else: include_file = p_string_literal(s, 'u')[2] ctx = ctx(cdef_flag = 1, visibility = 'extern...
def p_cdef_extern_block(s, pos, ctx):
if ctx.overridable: error(pos, "cdef extern blocks cannot be declared cpdef") include_file = None s.expect('from') if s.sy == '*': s.next() else: include_file = p_string_literal(s, 'u')[2] ctx = ctx(cdef_flag = 1, visibility = 'extern') if s.systring == "namespace": ...
p_fused_definition(s, pos, ctx) else: return p_c_func_or_var_declaration(s, pos, ctx) def p_cdef_block(s, ctx): return p_suite(s, ctx(cdef_flag = 1)) def p_cdef_extern_block(s, pos, ctx):
64
64
203
13
51
0101011/cython
Cython/Compiler/Parsing.py
Python
p_cdef_extern_block
p_cdef_extern_block
3,096
3,119
3,096
3,096
b4e58b52f209a93541dfc516de416827fbd93f5e
bigcode/the-stack
train
1702aefe8dc224011e76e3b5
train
function
def p_subscript(s): # Parse a subscript and return a list of # 1, 2 or 3 ExprNodes, depending on how # many slice elements were encountered. pos = s.position() start = p_slice_element(s, (':',)) if s.sy != ':': return [start] s.next() stop = p_slice_element(s, (':', ',', ']')) ...
def p_subscript(s): # Parse a subscript and return a list of # 1, 2 or 3 ExprNodes, depending on how # many slice elements were encountered.
pos = s.position() start = p_slice_element(s, (':',)) if s.sy != ':': return [start] s.next() stop = p_slice_element(s, (':', ',', ']')) if s.sy != ':': return [start, stop] s.next() step = p_slice_element(s, (':', ',', ']')) return [start, stop, step]
subscript: '.' '.' '.' | test | [test] ':' [test] [':' [test]] def p_subscript(s): # Parse a subscript and return a list of # 1, 2 or 3 ExprNodes, depending on how # many slice elements were encountered.
64
64
132
43
21
0101011/cython
Cython/Compiler/Parsing.py
Python
p_subscript
p_subscript
604
618
604
607
a0859e812b3efcb84c83994163e5b290f7f0927c
bigcode/the-stack
train
4c513b7194f6732e02cf34e1
train
function
def p_pass_statement(s, with_newline = 0): pos = s.position() s.expect('pass') if with_newline: s.expect_newline("Expected a newline", ignore_semicolon=True) return Nodes.PassStatNode(pos)
def p_pass_statement(s, with_newline = 0):
pos = s.position() s.expect('pass') if with_newline: s.expect_newline("Expected a newline", ignore_semicolon=True) return Nodes.PassStatNode(pos)
): # s.sy == 'del' pos = s.position() s.next() # FIXME: 'exprlist' in Python args = p_simple_expr_list(s) return Nodes.DelStatNode(pos, args = args) def p_pass_statement(s, with_newline = 0):
64
64
54
13
51
0101011/cython
Cython/Compiler/Parsing.py
Python
p_pass_statement
p_pass_statement
1,602
1,607
1,602
1,602
e3b0d6386abf8a0d2b1ece6da45a2f6a4347b810
bigcode/the-stack
train
5e7e6160e505e46fd31f3dc2
train
function
def p_int_literal(s): pos = s.position() value = s.systring s.next() unsigned = "" longness = "" while value[-1] in u"UuLl": if value[-1] in u"Ll": longness += "L" else: unsigned += "U" value = value[:-1] # '3L' is ambiguous in Py2 but not in P...
def p_int_literal(s):
pos = s.position() value = s.systring s.next() unsigned = "" longness = "" while value[-1] in u"UuLl": if value[-1] in u"Ll": longness += "L" else: unsigned += "U" value = value[:-1] # '3L' is ambiguous in Py2 but not in Py3. '3U' and '3LL' ar...
result = ExprNodes.BoolNode(pos, value=False) elif name == "NULL" and not s.in_python_file: result = ExprNodes.NullNode(pos) else: result = p_name(s, name) s.next() return result else: s.error("Expected an identifier or literal") def p_int_...
74
74
247
6
68
0101011/cython
Cython/Compiler/Parsing.py
Python
p_int_literal
p_int_literal
721
750
721
721
1d7ccf2faf60fc1eb0fa94f05b8e2fe214f72066
bigcode/the-stack
train
bfb7f33ec514dd96f47513a6
train
function
def p_nonlocal_statement(s): pos = s.position() s.next() names = p_ident_list(s) return Nodes.NonlocalNode(pos, names = names)
def p_nonlocal_statement(s):
pos = s.position() s.next() names = p_ident_list(s) return Nodes.NonlocalNode(pos, names = names)
#------------------------------------------------------- # # Statements # #------------------------------------------------------- def p_global_statement(s): # assume s.sy == 'global' pos = s.position() s.next() names = p_ident_list(s) return Nodes.GlobalNode(pos, names = names) def p_nonlocal...
64
64
37
7
57
0101011/cython
Cython/Compiler/Parsing.py
Python
p_nonlocal_statement
p_nonlocal_statement
1,485
1,489
1,485
1,485
2d1d1d70d7ec6181835d42928c898cfe9c5abeba
bigcode/the-stack
train
9a7a30f43141566fd13995c0
train
function
def p_imported_name(s, is_cimport): pos = s.position() kind = None if is_cimport and s.systring in imported_name_kinds: kind = s.systring s.next() name = p_ident(s) as_name = p_as_name(s) return (pos, name, as_name, kind)
def p_imported_name(s, is_cimport):
pos = s.position() kind = None if is_cimport and s.systring in imported_name_kinds: kind = s.systring s.next() name = p_ident(s) as_name = p_as_name(s) return (pos, name, as_name, kind)
= ExprNodes.IdentifierStringNode(pos, value = dotted_name), level = level, name_list = import_list), items = items) imported_name_kinds = cython.declare(set, set(['class', 'struct', 'union'])) def p_imported_name(s, is_cimport):
63
64
76
11
52
0101011/cython
Cython/Compiler/Parsing.py
Python
p_imported_name
p_imported_name
1,775
1,783
1,775
1,775
a96c5a30b1581169ab941cdc8f22b1178fc251f7
bigcode/the-stack
train
70eca8826d1957fa870c320a
train
function
def p_from_import_statement(s, first_statement = 0): # s.sy == 'from' pos = s.position() s.next() if s.sy == '.': # count relative import level level = 0 while s.sy == '.': level += 1 s.next() else: level = None if level is not None and s.s...
def p_from_import_statement(s, first_statement = 0): # s.sy == 'from'
pos = s.position() s.next() if s.sy == '.': # count relative import level level = 0 while s.sy == '.': level += 1 s.next() else: level = None if level is not None and s.sy in ('import', 'cimport'): # we are dealing with "from .. import ...
_allowed=1)) stats = [] is_absolute = Future.absolute_import in s.context.future_directives for pos, target_name, dotted_name, as_name in items: if kind == 'cimport': stat = Nodes.CImportStatNode( pos, module_name=dotted_name, as_name=as_na...
204
204
680
21
183
0101011/cython
Cython/Compiler/Parsing.py
Python
p_from_import_statement
p_from_import_statement
1,692
1,770
1,692
1,693
a37bb63924f319ed408e590a3d07547412a7b528
bigcode/the-stack
train
fc7f7d7ab0d1e113c5752310
train
function
def p_c_class_options(s): objstruct_name = None typeobj_name = None check_size = None s.expect('[') while 1: if s.sy != 'IDENT': break if s.systring == 'object': s.next() objstruct_name = p_ident(s) elif s.systring == 'type': s....
def p_c_class_options(s):
objstruct_name = None typeobj_name = None check_size = None s.expect('[') while 1: if s.sy != 'IDENT': break if s.systring == 'object': s.next() objstruct_name = p_ident(s) elif s.systring == 'type': s.next() typeobj...
= as_name, bases = bases, objstruct_name = objstruct_name, typeobj_name = typeobj_name, check_size = check_size, in_pxd = ctx.level == 'module_pxd', doc = doc, body = body) def p_c_class_options(s):
64
64
196
7
57
0101011/cython
Cython/Compiler/Parsing.py
Python
p_c_class_options
p_c_class_options
3,553
3,576
3,553
3,553
a165250d2816330ec713847750682a97da417307
bigcode/the-stack
train
05ab8a400097898c25d33a6d
train
function
def p_cdef_block(s, ctx): return p_suite(s, ctx(cdef_flag = 1))
def p_cdef_block(s, ctx):
return p_suite(s, ctx(cdef_flag = 1))
_struct_enum(s, pos, ctx) elif s.sy == 'IDENT' and s.systring == 'fused': return p_fused_definition(s, pos, ctx) else: return p_c_func_or_var_declaration(s, pos, ctx) def p_cdef_block(s, ctx):
64
64
23
9
55
0101011/cython
Cython/Compiler/Parsing.py
Python
p_cdef_block
p_cdef_block
3,093
3,094
3,093
3,093
92ced11845e20b5e13a8e53f5df085a8daa35b0c
bigcode/the-stack
train
5b284bf294b030f5a3041510
train
function
def p_c_class_definition(s, pos, ctx): # s.sy == 'class' s.next() module_path = [] class_name = p_ident(s) while s.sy == '.': s.next() module_path.append(class_name) class_name = p_ident(s) if module_path and ctx.visibility != 'extern': error(pos, "Qualified clas...
def p_c_class_definition(s, pos, ctx): # s.sy == 'class'
s.next() module_path = [] class_name = p_ident(s) while s.sy == '.': s.next() module_path.append(class_name) class_name = p_ident(s) if module_path and ctx.visibility != 'extern': error(pos, "Qualified class name only allowed for 'extern' C class") if module_path ...
(p_ident(s)) class_name.encoding = s.source_encoding # FIXME: why is this needed? arg_tuple = None keyword_dict = None if s.sy == '(': positional_args, keyword_args = p_call_parse_args(s, allow_genexp=False) arg_tuple, keyword_dict = p_call_build_packed_args(pos, positional_args, keywor...
203
203
679
20
183
0101011/cython
Cython/Compiler/Parsing.py
Python
p_c_class_definition
p_c_class_definition
3,477
3,550
3,477
3,478
6450121110535c45ee4eab483bf79f9d3ce7fac8
bigcode/the-stack
train
27ca2d202d033c8fb15a9f90
train
function
def p_break_statement(s): # s.sy == 'break' pos = s.position() s.next() return Nodes.BreakStatNode(pos)
def p_break_statement(s): # s.sy == 'break'
pos = s.position() s.next() return Nodes.BreakStatNode(pos)
(s, with_newline = 0): pos = s.position() s.expect('pass') if with_newline: s.expect_newline("Expected a newline", ignore_semicolon=True) return Nodes.PassStatNode(pos) def p_break_statement(s): # s.sy == 'break'
64
64
33
14
50
0101011/cython
Cython/Compiler/Parsing.py
Python
p_break_statement
p_break_statement
1,609
1,613
1,609
1,610
308cb3e6bf2c9a032605d9231a65f5387cabb4f9
bigcode/the-stack
train
e783404ee8cfe4edac56cd96
train
function
def p_simple_statement_list(s, ctx, first_statement = 0): # Parse a series of simple statements on one line # separated by semicolons. stat = p_simple_statement(s, first_statement = first_statement) pos = stat.pos stats = [] if not isinstance(stat, Nodes.PassStatNode): stats.append(stat)...
def p_simple_statement_list(s, ctx, first_statement = 0): # Parse a series of simple statements on one line # separated by semicolons.
stat = p_simple_statement(s, first_statement = first_statement) pos = stat.pos stats = [] if not isinstance(stat, Nodes.PassStatNode): stats.append(stat) while s.sy == ';': #print "p_simple_statement_list: maybe more to follow" ### s.next() if s.sy in ('NEWLINE', 'EOF...
node = p_yield_statement(s) elif s.sy == 'assert': node = p_assert_statement(s) elif s.sy == 'pass': node = p_pass_statement(s) else: node = p_expression_or_assignment(s) return node def p_simple_statement_list(s, ctx, first_statement = 0): # Parse a series of simple stateme...
91
91
304
35
55
0101011/cython
Cython/Compiler/Parsing.py
Python
p_simple_statement_list
p_simple_statement_list
2,141
2,174
2,141
2,143
586184588532b3348416ee52451bbe26483d9209
bigcode/the-stack
train
d653c1e3b04d0103ee2dfd73
train
function
def p_testlist(s): pos = s.position() expr = p_test(s) if s.sy == ',': s.next() exprs = p_simple_expr_list(s, expr) return ExprNodes.TupleNode(pos, args = exprs) else: return expr
def p_testlist(s):
pos = s.position() expr = p_test(s) if s.sy == ',': s.next() exprs = p_simple_expr_list(s, expr) return ExprNodes.TupleNode(pos, args = exprs) else: return expr
expr] or [] while s.sy not in expr_terminators: exprs.append(p_test_or_starred_expr(s)) if s.sy != ',': break s.next() return exprs #testlist: test (',' test)* [','] def p_testlist(s):
64
64
62
6
58
0101011/cython
Cython/Compiler/Parsing.py
Python
p_testlist
p_testlist
1,425
1,433
1,425
1,425
f7c16912e9d21c0622d76234e981dc7530f78c68
bigcode/the-stack
train
95a05768ffce22a88fc424c0
train
function
def p_template_definition(s): name = p_ident(s) if s.sy == '=': s.expect('=') s.expect('*') required = False else: required = True return name, required
def p_template_definition(s):
name = p_ident(s) if s.sy == '=': s.expect('=') s.expect('*') required = False else: required = True return name, required
'EOF': s.error("Syntax error in statement [%s,%s]" % ( repr(s.sy), repr(s.systring))) return ModuleNode(pos, doc = doc, body = body, full_module_name = full_module_name, directive_comments = directive_comments) def p_template_definition(s):
64
64
49
6
58
0101011/cython
Cython/Compiler/Parsing.py
Python
p_template_definition
p_template_definition
3,724
3,732
3,724
3,724
635c8f3e685927dc8f570434aab7faf5de11612e
bigcode/the-stack
train
fa50c5d724f70272964a4da9
train
function
def p_call_build_packed_args(pos, positional_args, keyword_args): keyword_dict = None subtuples = [ ExprNodes.TupleNode(pos, args=arg) if isinstance(arg, list) else ExprNodes.AsTupleNode(pos, arg=arg) for arg in positional_args ] # TODO: implement a faster way to join tuples than creati...
def p_call_build_packed_args(pos, positional_args, keyword_args):
keyword_dict = None subtuples = [ ExprNodes.TupleNode(pos, args=arg) if isinstance(arg, list) else ExprNodes.AsTupleNode(pos, arg=arg) for arg in positional_args ] # TODO: implement a faster way to join tuples than creating each one and adding them arg_tuple = reduce(partial(ExprNod...
: break s.next() if s.sy in ('for', 'async'): if not keyword_args and not last_was_tuple_unpack: if len(positional_args) == 1 and len(positional_args[0]) == 1: positional_args = [[p_genexp(s, positional_args[0][0])]] s.expect(')') return positional_ar...
102
102
342
15
86
0101011/cython
Cython/Compiler/Parsing.py
Python
p_call_build_packed_args
p_call_build_packed_args
512
551
512
512
0c8b107af31ba7efe154881e4cd2a1234bc232c0
bigcode/the-stack
train
38e14d3a2659b5c3520f80d9
train
function
def p_while_statement(s): # s.sy == 'while' pos = s.position() s.next() test = p_test(s) body = p_suite(s) else_clause = p_else_clause(s) return Nodes.WhileStatNode(pos, condition = test, body = body, else_clause = else_clause)
def p_while_statement(s): # s.sy == 'while'
pos = s.position() s.next() test = p_test(s) body = p_suite(s) else_clause = p_else_clause(s) return Nodes.WhileStatNode(pos, condition = test, body = body, else_clause = else_clause)
) return Nodes.IfClauseNode(pos, condition = test, body = body) def p_else_clause(s): if s.sy == 'else': s.next() return p_suite(s) else: return None def p_while_statement(s): # s.sy == 'while'
64
64
73
15
48
0101011/cython
Cython/Compiler/Parsing.py
Python
p_while_statement
p_while_statement
1,848
1,857
1,848
1,849
945f7e45c038087d7883bf26b8fe3e794a76fb76
bigcode/the-stack
train
c3d8be97c00c841245723122
train
function
def p_c_base_type(s, self_flag = 0, nonempty = 0, templates = None): # If self_flag is true, this is the base type for the # self argument of a C method of an extension type. if s.sy == '(': return p_c_complex_base_type(s, templates = templates) else: return p_c_simple_base_type(s, self_...
def p_c_base_type(s, self_flag = 0, nonempty = 0, templates = None): # If self_flag is true, this is the base type for the # self argument of a C method of an extension type.
if s.sy == '(': return p_c_complex_base_type(s, templates = templates) else: return p_c_simple_base_type(s, self_flag, nonempty = nonempty, templates = templates)
s.next() return positional_args, keyword_args def p_c_base_type(s, self_flag = 0, nonempty = 0, templates = None): # If self_flag is true, this is the base type for the # self argument of a C method of an extension type.
64
64
97
52
11
0101011/cython
Cython/Compiler/Parsing.py
Python
p_c_base_type
p_c_base_type
2,427
2,433
2,427
2,429
3ba8b5304940849af6ab1d9020e80c7b6e18b044
bigcode/the-stack
train
0e86e3c0ac05e82cb93514b0
train
function
def p_ignorable_statement(s): """ Parses any kind of ignorable statement that is allowed in .pxd files. """ if s.sy == 'BEGIN_STRING': pos = s.position() string_node = p_atom(s) s.expect_newline("Syntax error in string", ignore_semicolon=True) return Nodes.ExprStatNode(po...
def p_ignorable_statement(s):
""" Parses any kind of ignorable statement that is allowed in .pxd files. """ if s.sy == 'BEGIN_STRING': pos = s.position() string_node = p_atom(s) s.expect_newline("Syntax error in string", ignore_semicolon=True) return Nodes.ExprStatNode(pos, expr=string_node) retur...
() # 'property' name = p_ident(s) doc, body = p_suite_with_docstring( s, Ctx(level='property'), with_doc_only=True) return Nodes.PropertyNode(pos, name=name, doc=doc, body=body) def p_ignorable_statement(s):
64
64
85
8
56
0101011/cython
Cython/Compiler/Parsing.py
Python
p_ignorable_statement
p_ignorable_statement
3,588
3,597
3,588
3,588
9113535e599cc2eb8acf4bc2b6399f33a0ae8fdb
bigcode/the-stack
train
50c26ed1be5a3cdbe8a11b3f
train
function
def p_backquote_expr(s): # s.sy == '`' pos = s.position() s.next() args = [p_test(s)] while s.sy == ',': s.next() args.append(p_test(s)) s.expect('`') if len(args) == 1: arg = args[0] else: arg = ExprNodes.TupleNode(pos, args = args) return ExprNodes.B...
def p_backquote_expr(s): # s.sy == '`'
pos = s.position() s.next() args = [p_test(s)] while s.sy == ',': s.next() args.append(p_test(s)) s.expect('`') if len(args) == 1: arg = args[0] else: arg = ExprNodes.TupleNode(pos, args = args) return ExprNodes.BackquoteNode(pos, arg = arg)
if len(items) == 1 and items[0].is_dict_literal: return items[0] return ExprNodes.MergedDictNode(pos, keyword_args=items, reject_duplicates=False) # NOTE: no longer in Py3 :) def p_backquote_expr(s): # s.sy == '`'
64
64
101
14
50
0101011/cython
Cython/Compiler/Parsing.py
Python
p_backquote_expr
p_backquote_expr
1,388
1,401
1,388
1,389
c96201bb0e5a4e43eeb23e19194b978088fa87d0
bigcode/the-stack
train
6bc356977af5cc6f5ad84219
train
function
def p_c_func_or_var_declaration(s, pos, ctx): cmethod_flag = ctx.level in ('c_class', 'c_class_pxd') modifiers = p_c_modifiers(s) base_type = p_c_base_type(s, nonempty = 1, templates = ctx.templates) declarator = p_c_declarator(s, ctx(modifiers=modifiers), cmethod_flag = cmethod_flag, ...
def p_c_func_or_var_declaration(s, pos, ctx):
cmethod_flag = ctx.level in ('c_class', 'c_class_pxd') modifiers = p_c_modifiers(s) base_type = p_c_base_type(s, nonempty = 1, templates = ctx.templates) declarator = p_c_declarator(s, ctx(modifiers=modifiers), cmethod_flag = cmethod_flag, assignable = 1, nonempty = 1) ...
': return p_c_enum_definition(s, pos, ctx) else: return p_c_struct_or_union_definition(s, pos, ctx) def p_visibility(s, prev_visibility): pos = s.position() visibility = prev_visibility if s.sy == 'IDENT' and s.systring in ('extern', 'public', 'readonly'): visibility = s.systrin...
191
191
637
14
177
0101011/cython
Cython/Compiler/Parsing.py
Python
p_c_func_or_var_declaration
p_c_func_or_var_declaration
3,273
3,335
3,273
3,273
38e0e146f7ff7370bdd06e1dd92876dfbfd4965c
bigcode/the-stack
train
27f581c6383baca0480a77d7
train
function
def p_genexp(s, expr): # s.sy == 'async' | 'for' loop = p_comp_for(s, Nodes.ExprStatNode( expr.pos, expr = ExprNodes.YieldExprNode(expr.pos, arg=expr))) return ExprNodes.GeneratorExpressionNode(expr.pos, loop=loop)
def p_genexp(s, expr): # s.sy == 'async' | 'for'
loop = p_comp_for(s, Nodes.ExprStatNode( expr.pos, expr = ExprNodes.YieldExprNode(expr.pos, arg=expr))) return ExprNodes.GeneratorExpressionNode(expr.pos, loop=loop)
(s, expr) return ExprNodes.TupleNode(pos, args = exprs) elif s.sy in ('for', 'async'): return p_genexp(s, expr) else: return expr def p_genexp(s, expr): # s.sy == 'async' | 'for'
64
64
67
20
43
0101011/cython
Cython/Compiler/Parsing.py
Python
p_genexp
p_genexp
1,461
1,465
1,461
1,462
fdba9cbd231fbb0812e5090dd41f7773ca1923c8
bigcode/the-stack
train
57532579254ab002a520f7fe
train
function
def p_class_statement(s, decorators): # s.sy == 'class' pos = s.position() s.next() class_name = EncodedString(p_ident(s)) class_name.encoding = s.source_encoding # FIXME: why is this needed? arg_tuple = None keyword_dict = None if s.sy == '(': positional_args, keyword_args = p_...
def p_class_statement(s, decorators): # s.sy == 'class'
pos = s.position() s.next() class_name = EncodedString(p_ident(s)) class_name.encoding = s.source_encoding # FIXME: why is this needed? arg_tuple = None keyword_dict = None if s.sy == '(': positional_args, keyword_args = p_call_parse_args(s, allow_genexp=False) arg_tuple, ke...
= p_ident(s) annotation = None if annotated and s.sy == ':': s.next() annotation = p_test(s) return Nodes.PyArgDeclNode(pos, name = name, annotation = annotation) def p_class_statement(s, decorators): # s.sy == 'class'
64
64
216
16
48
0101011/cython
Cython/Compiler/Parsing.py
Python
p_class_statement
p_class_statement
3,454
3,474
3,454
3,455
eae17046925358bfa839fd5d88c8de13760b75da
bigcode/the-stack
train
1acaccd4d1f64b362fe4e19d
train
function
def p_for_target(s): return p_target(s, 'in')
def p_for_target(s):
return p_target(s, 'in')
exprs = [expr] while s.sy != terminator: exprs.append(p_starred_expr(s)) if s.sy != ',': break s.next() return ExprNodes.TupleNode(pos, args = exprs) else: return expr def p_for_target(s):
64
64
15
6
57
0101011/cython
Cython/Compiler/Parsing.py
Python
p_for_target
p_for_target
1,948
1,949
1,948
1,948
0665cc9b9ef04b3c2aed3edb8572b58d212f9ea4
bigcode/the-stack
train
7d5804676aaf9858df634672
train
function
def print_parse_tree(f, node, level, key = None): ind = " " * level if node: f.write(ind) if key: f.write("%s: " % key) t = type(node) if t is tuple: f.write("(%s @ %s\n" % (node[0], node[1])) for i in range(2, len(node)): prin...
def print_parse_tree(f, node, level, key = None):
ind = " " * level if node: f.write(ind) if key: f.write("%s: " % key) t = type(node) if t is tuple: f.write("(%s @ %s\n" % (node[0], node[1])) for i in range(2, len(node)): print_parse_tree(f, node[i], level+1) f.wr...
_decorator: tup += Nodes.CStructOrUnionDefNode, Nodes.CEnumDefNode if not isinstance(node, tup): s.error("Decorators can only be followed by functions or classes") node.decorators = decorators return node #---------------------------------------------- #...
80
80
269
14
66
0101011/cython
Cython/Compiler/Parsing.py
Python
print_parse_tree
print_parse_tree
3,824
3,853
3,824
3,824
0e58c8fe58112304459bc6f77378d4c5da558b46
bigcode/the-stack
train
ca3c86bcb048d6fbdfaae6e4
train
function
def p_opt_cname(s): literal = p_opt_string_literal(s, 'u') if literal is not None: cname = EncodedString(literal) cname.encoding = s.source_encoding else: cname = None return cname
def p_opt_cname(s):
literal = p_opt_string_literal(s, 'u') if literal is not None: cname = EncodedString(literal) cname.encoding = s.source_encoding else: cname = None return cname
elif s.systring == 'signed': signed = 2 elif s.systring == 'short': longness = -1 elif s.systring == 'long': longness += 1 s.next() return signed, longness def p_opt_cname(s):
64
64
55
7
56
0101011/cython
Cython/Compiler/Parsing.py
Python
p_opt_cname
p_opt_cname
2,766
2,773
2,766
2,766
071975958026644a17a66f959f53141a9371e022
bigcode/the-stack
train
fdb155e7180ed6aaa1f6b06e
train
function
def p_starred_expr(s): pos = s.position() if s.sy == '*': starred = True s.next() else: starred = False expr = p_bit_expr(s) if starred: expr = ExprNodes.StarredUnpackingNode(pos, expr) return expr
def p_starred_expr(s):
pos = s.position() if s.sy == '*': starred = True s.next() else: starred = False expr = p_bit_expr(s) if starred: expr = ExprNodes.StarredUnpackingNode(pos, expr) return expr
s.sy in comparison_ops: n1.cascade = p_cascaded_cmp(s) return n1 def p_test_or_starred_expr(s): if s.sy == '*': return p_starred_expr(s) else: return p_test(s) def p_starred_expr(s):
64
64
68
7
57
0101011/cython
Cython/Compiler/Parsing.py
Python
p_starred_expr
p_starred_expr
212
222
212
212
f9bd9bb16021caf2e3bbb8b6e2eeed87d468b2bd
bigcode/the-stack
train
c852ead1123837d640f826e0
train
function
def p_cascaded_cmp(s): pos = s.position() op = p_cmp_op(s) n2 = p_starred_expr(s) result = ExprNodes.CascadedCmpNode(pos, operator = op, operand2 = n2) if s.sy in comparison_ops: result.cascade = p_cascaded_cmp(s) return result
def p_cascaded_cmp(s):
pos = s.position() op = p_cmp_op(s) n2 = p_starred_expr(s) result = ExprNodes.CascadedCmpNode(pos, operator = op, operand2 = n2) if s.sy in comparison_ops: result.cascade = p_cascaded_cmp(s) return result
() if s.sy == '*': starred = True s.next() else: starred = False expr = p_bit_expr(s) if starred: expr = ExprNodes.StarredUnpackingNode(pos, expr) return expr def p_cascaded_cmp(s):
64
64
79
8
55
0101011/cython
Cython/Compiler/Parsing.py
Python
p_cascaded_cmp
p_cascaded_cmp
224
232
224
224
eb3b4c8f886058b8c074f6580a0b4200ba3225e1
bigcode/the-stack
train
fc73d8d265733749acf29d87
train
function
def p_list_maker(s): # s.sy == '[' pos = s.position() s.next() if s.sy == ']': s.expect(']') return ExprNodes.ListNode(pos, args=[]) expr = p_test_or_starred_expr(s) if s.sy in ('for', 'async'): if expr.is_starred: s.error("iterable unpacking cannot be used i...
def p_list_maker(s): # s.sy == '['
pos = s.position() s.next() if s.sy == ']': s.expect(']') return ExprNodes.ListNode(pos, args=[]) expr = p_test_or_starred_expr(s) if s.sy in ('for', 'async'): if expr.is_starred: s.error("iterable unpacking cannot be used in comprehension") append = Expr...
star_expr))* [','] ) # comp_iter ::= comp_for | comp_if # comp_for ::= ["async"] "for" expression_list "in" testlist [comp_iter] # comp_if ::= "if" test [comp_iter] def p_list_maker(s): # s.sy == '['
70
70
234
14
56
0101011/cython
Cython/Compiler/Parsing.py
Python
p_list_maker
p_list_maker
1,208
1,235
1,208
1,209
c41a4eec0059cdf00948ec0acb7a04df6d4c5c0a
bigcode/the-stack
train
afcf679810302ff5d5f6729b
train
function
def p_call(s, function): # s.sy == '(' pos = s.position() positional_args, keyword_args = p_call_parse_args(s) if not keyword_args and len(positional_args) == 1 and isinstance(positional_args[0], list): return ExprNodes.SimpleCallNode(pos, function=function, args=positional_args[0]) else: ...
def p_call(s, function): # s.sy == '('
pos = s.position() positional_args, keyword_args = p_call_parse_args(s) if not keyword_args and len(positional_args) == 1 and isinstance(positional_args[0], list): return ExprNodes.SimpleCallNode(pos, function=function, args=positional_args[0]) else: arg_tuple, keyword_dict = p_call_bui...
arguments found -> one dict keyword_dict = kwargs[0] else: # at least one **kwargs keyword_dict = ExprNodes.MergedDictNode(pos, keyword_args=kwargs) return arg_tuple, keyword_dict def p_call(s, function): # s.sy == '('
64
64
127
14
49
0101011/cython
Cython/Compiler/Parsing.py
Python
p_call
p_call
554
564
554
555
77830fc02dd55cb9933fbb34ea919b679ef2b8eb
bigcode/the-stack
train
125bb7886ebf9502910f69f7
train
function
def p_with_gil(s): if s.sy == 'with': s.next() s.expect_keyword('gil') return 1 else: return 0
def p_with_gil(s):
if s.sy == 'with': s.next() s.expect_keyword('gil') return 1 else: return 0
) result.calling_convention = calling_convention return result def p_nogil(s): if s.sy == 'IDENT' and s.systring == 'nogil': s.next() return 1 else: return 0 def p_with_gil(s):
64
64
39
7
56
0101011/cython
Cython/Compiler/Parsing.py
Python
p_with_gil
p_with_gil
2,935
2,941
2,935
2,935
48e846f04487cf47befb2406e4d222ecbf0305c7
bigcode/the-stack
train
886e6fde1a8e81a0302754aa
train
function
def p_suite(s, ctx=Ctx()): return p_suite_with_docstring(s, ctx, with_doc_only=False)[1]
def p_suite(s, ctx=Ctx()):
return p_suite_with_docstring(s, ctx, with_doc_only=False)[1]
stats.append(stat) first_statement = False if not stats: return Nodes.PassStatNode(pos) elif len(stats) == 1: return stats[0] else: return Nodes.StatListNode(pos, stats = stats) def p_suite(s, ctx=Ctx()):
64
64
27
9
55
0101011/cython
Cython/Compiler/Parsing.py
Python
p_suite
p_suite
2,344
2,345
2,344
2,344
f7f9a56f217656b0082e3209b853073660cb57ed
bigcode/the-stack
train
51b2a1d8ac766d68fa84676c
train
function
def p_async_statement(s, ctx, decorators): # s.sy >> 'async' ... if s.sy == 'def': # 'async def' statements aren't allowed in pxd files if 'pxd' in ctx.level: s.error('def statement not allowed here') s.level = ctx.level return p_def_statement(s, decorators, is_async_...
def p_async_statement(s, ctx, decorators): # s.sy >> 'async' ...
if s.sy == 'def': # 'async def' statements aren't allowed in pxd files if 'pxd' in ctx.level: s.error('def statement not allowed here') s.level = ctx.level return p_def_statement(s, decorators, is_async_def=True) elif decorators: s.error("Decorators can only b...
arg=arg) def p_yield_statement(s): # s.sy == "yield" yield_expr = p_yield_expression(s) return Nodes.ExprStatNode(yield_expr.pos, expr=yield_expr) def p_async_statement(s, ctx, decorators): # s.sy >> 'async' ...
64
64
166
19
45
0101011/cython
Cython/Compiler/Parsing.py
Python
p_async_statement
p_async_statement
388
404
388
389
d5bc349698bf42604315058adffc5f38c2a37164
bigcode/the-stack
train
2d3aae818eeb4554e47f86a7
train
function
def p_optional_ellipsis(s): if s.sy == '.': expect_ellipsis(s) return 1 else: return 0
def p_optional_ellipsis(s):
if s.sy == '.': expect_ellipsis(s) return 1 else: return 0
ctx, in_pyfunc, is_self_arg, nonempty = nonempty_declarators, kw_only = kw_only, annotated = annotated)) if s.sy != ',': break s.next() is_self_arg = 0 return args def p_optional_ellipsis(s):
64
64
33
7
56
0101011/cython
Cython/Compiler/Parsing.py
Python
p_optional_ellipsis
p_optional_ellipsis
2,986
2,991
2,986
2,986
356c3d9e2eb84b2799f07c70cd93bfeb5df58c20
bigcode/the-stack
train
e2a909ef0f456315730e5a1f
train
function
def p_shift_expr(s): return p_binop_expr(s, ('<<', '>>'), p_arith_expr)
def p_shift_expr(s):
return p_binop_expr(s, ('<<', '>>'), p_arith_expr)
p_and_expr) #and_expr: shift_expr ('&' shift_expr)* def p_and_expr(s): return p_binop_expr(s, ('&',), p_shift_expr) #shift_expr: arith_expr (('<<'|'>>') arith_expr)* def p_shift_expr(s):
64
64
25
6
57
0101011/cython
Cython/Compiler/Parsing.py
Python
p_shift_expr
p_shift_expr
275
276
275
275
d53f37728461ac0e5b63c48c1e3311baaf862344
bigcode/the-stack
train
35c16208022598b4d71e3cab
train
function
def p_py_arg_decl(s, annotated = 1): pos = s.position() name = p_ident(s) annotation = None if annotated and s.sy == ':': s.next() annotation = p_test(s) return Nodes.PyArgDeclNode(pos, name = name, annotation = annotation)
def p_py_arg_decl(s, annotated = 1):
pos = s.position() name = p_ident(s) annotation = None if annotated and s.sy == ':': s.next() annotation = p_test(s) return Nodes.PyArgDeclNode(pos, name = name, annotation = annotation)
list") if s.sy == '**': s.next() starstar_arg = p_py_arg_decl(s, annotated=annotated) if s.sy == ',': s.next() return (args, star_arg, starstar_arg) def p_py_arg_decl(s, annotated = 1):
64
64
68
12
52
0101011/cython
Cython/Compiler/Parsing.py
Python
p_py_arg_decl
p_py_arg_decl
3,444
3,451
3,444
3,444
019eac0fe3704aaa17a9f22acb16057e78c7b7de
bigcode/the-stack
train
5c93e0574dff3be909d9b832
train
function
def p_c_struct_or_union_definition(s, pos, ctx): packed = False if s.systring == 'packed': packed = True s.next() if s.sy != 'IDENT' or s.systring != 'struct': s.expected('struct') # s.sy == ident 'struct' or 'union' kind = s.systring s.next() name = p_ident(s...
def p_c_struct_or_union_definition(s, pos, ctx):
packed = False if s.systring == 'packed': packed = True s.next() if s.sy != 'IDENT' or s.systring != 'struct': s.expected('struct') # s.sy == ident 'struct' or 'union' kind = s.systring s.next() name = p_ident(s) cname = p_opt_cname(s) if cname is None...
name = p_ident(s) cname = p_opt_cname(s) if cname is None and ctx.namespace is not None: cname = ctx.namespace + "::" + name value = None if s.sy == '=': s.next() value = p_test(s) items.append(Nodes.CEnumDefItemNode(pos, name = name, cname = cname, value = value)) d...
99
99
331
13
86
0101011/cython
Cython/Compiler/Parsing.py
Python
p_c_struct_or_union_definition
p_c_struct_or_union_definition
3,175
3,213
3,175
3,175
af6f7c8606f3c294d10cfc4c4a6e226cf18da599
bigcode/the-stack
train
1f25012e7c31f612d8136185
train
function
def p_with_items(s, is_async=False): pos = s.position() if not s.in_python_file and s.sy == 'IDENT' and s.systring in ('nogil', 'gil'): if is_async: s.error("with gil/nogil cannot be async") state = s.systring s.next() # support conditional gil/nogil conditio...
def p_with_items(s, is_async=False):
pos = s.position() if not s.in_python_file and s.sy == 'IDENT' and s.systring in ('nogil', 'gil'): if is_async: s.error("with gil/nogil cannot be async") state = s.systring s.next() # support conditional gil/nogil condition = None if s.sy == '(': ...
return None else: return Nodes.PassStatNode(pos) def p_with_statement(s): s.next() # 'with' if s.systring == 'template' and not s.in_python_file: node = p_with_template(s) else: node = p_with_items(s) return node def p_with_items(s, is_async=False):
78
78
262
10
67
0101011/cython
Cython/Compiler/Parsing.py
Python
p_with_items
p_with_items
2,048
2,080
2,048
2,048
84ecb9046f90f0f8d3e668cc5daf22097fdb45c9
bigcode/the-stack
train
aa12b556daaeb9b394308f21
train
function
def p_with_statement(s): s.next() # 'with' if s.systring == 'template' and not s.in_python_file: node = p_with_template(s) else: node = p_with_items(s) return node
def p_with_statement(s):
s.next() # 'with' if s.systring == 'template' and not s.in_python_file: node = p_with_template(s) else: node = p_with_items(s) return node
s2 = PyrexScanner(f, source_desc, s, source_encoding=f.encoding, parse_comments=s.parse_comments) tree = p_statement_list(s2, ctx) return tree else: return None else: return Nodes.PassStatNode(pos) def p_with_statement(s):
64
64
54
6
58
0101011/cython
Cython/Compiler/Parsing.py
Python
p_with_statement
p_with_statement
2,039
2,045
2,039
2,039
0936f2233389b107e0ef1dd3c9f67ac582cee711
bigcode/the-stack
train
9e24219373994eae554b5d5b
train
function
def p_raise_statement(s): # s.sy == 'raise' pos = s.position() s.next() exc_type = None exc_value = None exc_tb = None cause = None if s.sy not in statement_terminators: exc_type = p_test(s) if s.sy == ',': s.next() exc_value = p_test(s) ...
def p_raise_statement(s): # s.sy == 'raise'
pos = s.position() s.next() exc_type = None exc_value = None exc_tb = None cause = None if s.sy not in statement_terminators: exc_type = p_test(s) if s.sy == ',': s.next() exc_value = p_test(s) if s.sy == ',': s.next() ...
' pos = s.position() s.next() if s.sy not in statement_terminators: value = p_testlist(s) else: value = None return Nodes.ReturnStatNode(pos, value = value) def p_raise_statement(s): # s.sy == 'raise'
64
64
182
14
50
0101011/cython
Cython/Compiler/Parsing.py
Python
p_raise_statement
p_raise_statement
1,631
1,657
1,631
1,632
33f5955e2a61127633998c6a4fda5efed83b28b0
bigcode/the-stack
train
2a4fad6492ce3f6dbb1803a8
train
function
def p_yield_statement(s): # s.sy == "yield" yield_expr = p_yield_expression(s) return Nodes.ExprStatNode(yield_expr.pos, expr=yield_expr)
def p_yield_statement(s): # s.sy == "yield"
yield_expr = p_yield_expression(s) return Nodes.ExprStatNode(yield_expr.pos, expr=yield_expr)
pos, fatal=False) arg = None if is_yield_from: return ExprNodes.YieldFromExprNode(pos, arg=arg) else: return ExprNodes.YieldExprNode(pos, arg=arg) def p_yield_statement(s): # s.sy == "yield"
64
64
41
15
49
0101011/cython
Cython/Compiler/Parsing.py
Python
p_yield_statement
p_yield_statement
382
385
382
383
cd4d282674d5938d8b8af08a34b57d816e9c375b
bigcode/the-stack
train
d626b345044f041a164466c2
train
function
def _cert_dict(items): return {i.oid: i.value for i in items}
def _cert_dict(items):
return {i.oid: i.value for i in items}
.oid import ExtensionOID, NameOID from cryptography.hazmat.backends import default_backend from cryptography.hazmat.primitives import hashes CERT_KEYS = [ ("cn", NameOID.COMMON_NAME), ("on", NameOID.ORGANIZATION_NAME) ] def _cert_dict(items):
64
64
20
6
58
edk0/twisted-opm
opm/cert.py
Python
_cert_dict
_cert_dict
15
16
15
15
308ee3f4983ccbedc1c0a7d4f04e093986bf031f
bigcode/the-stack
train
9359ae0bdc6e6583f9048642
train
class
class CertificateProtocol(protocol.Protocol): def __init__(self, bad): self.bad = bad directlyProvides(self, interfaces.IHandshakeListener) def connectionMade(self): self.deferred = defer.Deferred(self.cancel) def cancel(self, defer): if defer is self.deferred: s...
class CertificateProtocol(protocol.Protocol):
def __init__(self, bad): self.bad = bad directlyProvides(self, interfaces.IHandshakeListener) def connectionMade(self): self.deferred = defer.Deferred(self.cancel) def cancel(self, defer): if defer is self.deferred: self.deferred = None self.transport...
from zope.interface import directlyProvides from cryptography import x509 from cryptography.x509.oid import ExtensionOID, NameOID from cryptography.hazmat.backends import default_backend from cryptography.hazmat.primitives import hashes CERT_KEYS = [ ("cn", NameOID.COMMON_NAME), ("on", NameOID.OR...
106
106
355
6
100
edk0/twisted-opm
opm/cert.py
Python
CertificateProtocol
CertificateProtocol
18
66
18
18
b27a28ff344d9a05f851d318b4dd5c01e3eb53b0
bigcode/the-stack
train
f7a0d4233caa8bc7e63661cd
train
class
class CertificateChecker(object): def __init__(self, port, bad): self.port = port # convert {k:v} to [(regex(k), v)] self.bad = [(re.compile(k, re.I), v) for k, v in bad.items()] def check(self, scan, env): options = ssl.CertificateOptions(verify=False) creator = protoc...
class CertificateChecker(object):
def __init__(self, port, bad): self.port = port # convert {k:v} to [(regex(k), v)] self.bad = [(re.compile(k, re.I), v) for k, v in bad.items()] def check(self, scan, env): options = ssl.CertificateOptions(verify=False) creator = protocol.ClientCreator(env.reactor, Cert...
for pattern, description in self.bad: for k, v in values: key = f'{k}:{v}' if pattern.fullmatch(key): d = self.deferred self.deferred = None d.callback(f"{description} ({key})") break ...
73
73
244
5
68
edk0/twisted-opm
opm/cert.py
Python
CertificateChecker
CertificateChecker
68
96
68
68
11456e654eb7c5c477599a0c29372d678fc63459
bigcode/the-stack
train
166bab7a2982a2f2e608c5c9
train
function
@notify.command(name="send_emails", short_help="Send out Email notifications.") def send_emails(): """ Sends an email to users notifying about new activities. As currently implemented, it will only send notifications from dashboard activity list if users have `activity_streams_email_notifications` set ...
@notify.command(name="send_emails", short_help="Send out Email notifications.") def send_emails():
""" Sends an email to users notifying about new activities. As currently implemented, it will only send notifications from dashboard activity list if users have `activity_streams_email_notifications` set in their profile. It will send emails with updates depending on the `ckan.email_notifications_s...
.command(name="replay", short_help="Send out modification signals.") def replay(): dome = DomainObjectModificationExtension() for package in Session.query(Package): dome.notify(package, DomainObjectOperation.changed) @notify.command(name="send_emails", short_help="Send out Email notifications.") def sen...
66
66
220
22
44
salsadigitalauorg/ckan
ckan/cli/notify.py
Python
send_emails
send_emails
25
46
25
26
7e0a988414bcf977dcdd9bf4c95f5c3035fa5cb1
bigcode/the-stack
train
16e5e83fd948948a80406eca
train
function
@notify.command(name="replay", short_help="Send out modification signals.") def replay(): dome = DomainObjectModificationExtension() for package in Session.query(Package): dome.notify(package, DomainObjectOperation.changed)
@notify.command(name="replay", short_help="Send out modification signals.") def replay():
dome = DomainObjectModificationExtension() for package in Session.query(Package): dome.notify(package, DomainObjectOperation.changed)
kan.logic import NotAuthorized, ValidationError from ckan.cli import error_shout log = getLogger(__name__) @click.group(name="notify", short_help="Send out modification notifications.") def notify(): pass @notify.command(name="replay", short_help="Send out modification signals.") def replay():
64
64
46
19
44
salsadigitalauorg/ckan
ckan/cli/notify.py
Python
replay
replay
18
22
18
19
f485d9bcaa27927d06b545c0967ebfeed2578c31
bigcode/the-stack
train
3545b8cfad0242b95f6eab7c
train
function
@click.group(name="notify", short_help="Send out modification notifications.") def notify(): pass
@click.group(name="notify", short_help="Send out modification notifications.") def notify():
pass
Session, Package, DomainObjectOperation from ckan.model.modification import DomainObjectModificationExtension from ckan.logic import NotAuthorized, ValidationError from ckan.cli import error_shout log = getLogger(__name__) @click.group(name="notify", short_help="Send out modification notifications.") def notify():
64
64
20
17
47
salsadigitalauorg/ckan
ckan/cli/notify.py
Python
notify
notify
13
15
13
14
fc7d584a22feb17e234baefc3b1f6bda1fb42cd1
bigcode/the-stack
train
6a819fedc4d56569ef3a7eff
train
function
def get_global_namespace(decls): """ Get the global namespace (::) from a declaration tree. Args: decls (list[declaration_t]): a list of declarations Returns: namespace_t: the global namespace_t object (::) """ found = [ decl for decl in scopedef.make_flatten(decls) if...
def get_global_namespace(decls):
""" Get the global namespace (::) from a declaration tree. Args: decls (list[declaration_t]): a list of declarations Returns: namespace_t: the global namespace_t object (::) """ found = [ decl for decl in scopedef.make_flatten(decls) if decl.name == '::' and is...
recursive=recursive, allow_empty=allow_empty) ) def i_depend_on_them(self, recursive=True): answer = [] if recursive: for decl in self.declarations: answer.extend(decl.i_depend_on_them()) return answer def get_global_namesp...
64
64
115
7
56
PlutoniumHeart/ITK
Modules/ThirdParty/pygccxml/src/pygccxml/declarations/namespace.py
Python
get_global_namespace
get_global_namespace
285
301
285
285
136cb5a9e50fad1bc8758703b4f163a4dfbdc9ca
bigcode/the-stack
train
b9dca70aebd28921fce56546
train
class
class namespace_t(scopedef.scopedef_t): """ Describes C++ namespace. """ def __init__(self, name='', declarations=None): """ Creates an object that describes a C++ namespace declaration. """ scopedef.scopedef_t.__init__(self, name) if not declarations: ...
class namespace_t(scopedef.scopedef_t):
""" Describes C++ namespace. """ def __init__(self, name='', declarations=None): """ Creates an object that describes a C++ namespace declaration. """ scopedef.scopedef_t.__init__(self, name) if not declarations: declarations = [] # list of...
# Copyright 2014-2016 Insight Software Consortium. # Copyright 2004-2008 Roman Yakovenko. # Distributed under the Boost Software License, Version 1.0. # See http://www.boost.org/LICENSE_1_0.txt """ Describe a C++ namespace declaration. """ import warnings from . import scopedef from . import declaration_utils class ...
89
256
1,414
11
77
PlutoniumHeart/ITK
Modules/ThirdParty/pygccxml/src/pygccxml/declarations/namespace.py
Python
namespace_t
namespace_t
16
282
16
16
1cfb15f17e3057571d83dfe991b1d010a7ba10a6
bigcode/the-stack
train
84949b99b3bf472003634ff9
train
class
class VrfNetworkExplorerSummariesSectionGridRemote(RemoteModel): """ | ``id:`` none | ``attribute type:`` string | ``VirtualNetworkMemberID:`` none | ``attribute type:`` string | ``VirtualNetworkMemberName:`` none | ``attribute type:`` string | ``VirtualNetworkMemberDescript...
class VrfNetworkExplorerSummariesSectionGridRemote(RemoteModel):
""" | ``id:`` none | ``attribute type:`` string | ``VirtualNetworkMemberID:`` none | ``attribute type:`` string | ``VirtualNetworkMemberName:`` none | ``attribute type:`` string | ``VirtualNetworkMemberDescription:`` none | ``attribute type:`` string | ``Count:`` ...
from ..remote import RemoteModel class VrfNetworkExplorerSummariesSectionGridRemote(RemoteModel):
21
64
156
14
6
infobloxopen/infoblox_netmri
infoblox_netmri/api/remote/models/vrf_network_explorer_summaries_section_grid_remote.py
Python
VrfNetworkExplorerSummariesSectionGridRemote
VrfNetworkExplorerSummariesSectionGridRemote
4
31
4
4
e25b0666f852b90ef882e9797811354c7e56b1db
bigcode/the-stack
train
08554295687e9efd85350374
train
function
def init_app(app): init_api_routes(app)
def init_app(app):
init_api_routes(app)
app.register_blueprint(user_api, url_prefix='/api/users/') app.register_blueprint(site_api, url_prefix='/api/sites/') app.register_blueprint(link_api, url_prefix='/api/links/') app.register_blueprint(tag_api, url_prefix='/api/tags/') def init_app(app):
63
64
11
5
58
xiaojieluo/sourcehub
sourcehub/routes.py
Python
init_app
init_app
17
18
17
17
d456084b7dae0fbd1550ab42154fef56f5edb7ed
bigcode/the-stack
train
6f78d4c53fd04dcb28466ffa
train
function
def init_api_routes(app): """api routes Args: app ([type]): [description] """ from sourcehub.api import index_api, site_api, app_api, user_api, link_api, tag_api app.register_blueprint(index_api, url_prefix='/api/') app.register_blueprint(app_api, url_prefix='/api/app/') app.regist...
def init_api_routes(app):
"""api routes Args: app ([type]): [description] """ from sourcehub.api import index_api, site_api, app_api, user_api, link_api, tag_api app.register_blueprint(index_api, url_prefix='/api/') app.register_blueprint(app_api, url_prefix='/api/app/') app.register_blueprint(user_api, url...
def init_api_routes(app):
6
64
133
6
0
xiaojieluo/sourcehub
sourcehub/routes.py
Python
init_api_routes
init_api_routes
1
14
1
1
c566355fdc90af741bd69d13ada49fbfb4704cfd
bigcode/the-stack
train
8792788ca1385dd35cdf7b1a
train
class
class PytypeSourceUtilsTest(unittest.TestCase): """Test pytype source utilities.""" def setUp(self): super(PytypeSourceUtilsTest, self).setUp() self.root = os.path.dirname(__file__) def testPytypeSourceDir(self): self.assertEqual(self.root, pytype_source_utils.pytype_source_dir()) def testGetFull...
class PytypeSourceUtilsTest(unittest.TestCase):
"""Test pytype source utilities.""" def setUp(self): super(PytypeSourceUtilsTest, self).setUp() self.root = os.path.dirname(__file__) def testPytypeSourceDir(self): self.assertEqual(self.root, pytype_source_utils.pytype_source_dir()) def testGetFullPath(self): self.assertEqual( os.pat...
"""Tests for pytype_source_utils.py.""" import os import sys from pytype import pytype_source_utils import unittest class PytypeSourceUtilsTest(unittest.TestCase):
37
83
279
10
26
Arvind2222/pytype
pytype/pytype_source_utils_test.py
Python
PytypeSourceUtilsTest
PytypeSourceUtilsTest
11
41
11
11
63c9edae2ffebc4e0e5db1364a3a390b6168969d
bigcode/the-stack
train
880dc6d51e5f390e2547b590
train
function
def add_archs(archs): global MODEL_ARCH for x in archs: assert x not in MODEL_ARCH, "Duplicated model name {} existed".format(x) MODEL_ARCH[x] = archs[x]
def add_archs(archs):
global MODEL_ARCH for x in archs: assert x not in MODEL_ARCH, "Duplicated model name {} existed".format(x) MODEL_ARCH[x] = archs[x]
from __future__ import absolute_import, division, print_function, unicode_literals def add_archs(archs):
24
64
49
8
15
vivym/maskrcnn-benchmark
maskrcnn_benchmark/modeling/backbone/fbnet_modeldef.py
Python
add_archs
add_archs
4
8
4
4
11612b0f33517acdccbfa2fe6ce099f77f6c6867
bigcode/the-stack
train
e65861b6cf69ca05a46b55ea
train
class
class TimezoneTests(unittest.TestCase): def test_localtime(self): now = datetime.datetime.utcnow().replace(tzinfo=timezone.utc) local_tz = timezone.LocalTimezone() local_now = timezone.localtime(now, local_tz) self.assertEqual(local_now.tzinfo, local_tz) def test_localtime_out_...
class TimezoneTests(unittest.TestCase):
def test_localtime(self): now = datetime.datetime.utcnow().replace(tzinfo=timezone.utc) local_tz = timezone.LocalTimezone() local_now = timezone.localtime(now, local_tz) self.assertEqual(local_now.tzinfo, local_tz) def test_localtime_out_of_range(self): local_tz = timezo...
import copy import datetime import pickle import unittest from django.test.utils import override_settings from django.utils import six from django.utils import timezone EAT = timezone.get_fixed_timezone(180) # Africa/Nairobi ICT = timezone.get_fixed_timezone(420) # Asia/Bangkok class TimezoneTests(unittest...
72
149
498
8
63
pomarec/django
tests/utils_tests/test_timezone.py
Python
TimezoneTests
TimezoneTests
15
74
15
16
2a175b6ca145e8e19ec102ce8bbd06ade82f92c2
bigcode/the-stack
train
a906cebc4ace46ab8b7898f5
train
class
class SpecialOption(argparse.Action): """ Special argparse option. If option is not called, False is stored. If the option is called without argument, the value in const is provided as default. If the option is called with an argumeny, this argument is used as the value. """ def __init__( ...
class SpecialOption(argparse.Action):
""" Special argparse option. If option is not called, False is stored. If the option is called without argument, the value in const is provided as default. If the option is called with an argumeny, this argument is used as the value. """ def __init__( self, option_strings, ...
#!/usr/bin/env python import argparse import logging import os import torch import schnetpack as spk logging.basicConfig(level=os.environ.get("LOGLEVEL", "INFO")) class SpecialOption(argparse.Action):
47
64
180
7
40
lmj1029123/schnetpack
src/scripts/schnetpack_molecular_dynamics.py
Python
SpecialOption
SpecialOption
12
41
12
12
ffedd5b5706acb936059454addd8bede7ceccd37
bigcode/the-stack
train
a25a43cc3be2b1ac649e293b
train
function
def get_parser(): """ Setup parser for command line arguments """ main_parser = argparse.ArgumentParser() # General commands main_parser.add_argument("molecule_path", help="Initial geometry") main_parser.add_argument("model_path", help="Path of trained model") main_parser.add_argument("simulati...
def get_parser():
""" Setup parser for command line arguments """ main_parser = argparse.ArgumentParser() # General commands main_parser.add_argument("molecule_path", help="Initial geometry") main_parser.add_argument("model_path", help="Path of trained model") main_parser.add_argument("simulation_dir", help="Pat...
""" Special argparse option. If option is not called, False is stored. If the option is called without argument, the value in const is provided as default. If the option is called with an argumeny, this argument is used as the value. """ def __init__( self, option_strings, ...
177
177
590
4
173
lmj1029123/schnetpack
src/scripts/schnetpack_molecular_dynamics.py
Python
get_parser
get_parser
44
135
44
44
158a93fe2513c033829f3a22005e8a3a33d70168
bigcode/the-stack
train
4aa12e787b6e2743ce9ca438
train
class
class WriterTest(unittest.TestCase): def test_writer(self): with SummaryWriter() as writer: sample_rate = 44100 n_iter = 0 writer.add_scalar('data/scalar_systemtime', 0.1, n_iter) writer.add_scalar('data/scalar_customtime', 0.2, n_iter, walltime=n_iter) ...
class WriterTest(unittest.TestCase):
def test_writer(self): with SummaryWriter() as writer: sample_rate = 44100 n_iter = 0 writer.add_scalar('data/scalar_systemtime', 0.1, n_iter) writer.add_scalar('data/scalar_customtime', 0.2, n_iter, walltime=n_iter) writer.add_scalars('data/scala...
21, 5, 0] false_positive_counts = [150, 105, 18, 0, 0] true_negative_counts = [0, 45, 132, 150, 150] false_negative_counts = [0, 11, 54, 70, 75] precision = [0.3333333, 0.3786982, 0.5384616, 1.0, 0.0] recall = [1.0, 0.8533334, 0.28, 0.0666667, 0.0] class WriterTest(unittest.TestCase):
137
137
457
7
130
snard6/tensorboardX
tests/test_writer.py
Python
WriterTest
WriterTest
17
50
17
17
5b103417d76ce0881f188b10deb82ea234f15e45
bigcode/the-stack
train
b97cdd4eaa7822389bc08c84
train
function
def plot_result(x_test, data_name, test_y_hat, test_y_fit, test_c, test_coef, metric, criteria): """Plots various fidelity performances. This module plots fidelity or AWD results with respect to distance from the boundary where the local dynamics change (in percentile). Args: x_test: featu...
def plot_result(x_test, data_name, test_y_hat, test_y_fit, test_c, test_coef, metric, criteria):
"""Plots various fidelity performances. This module plots fidelity or AWD results with respect to distance from the boundary where the local dynamics change (in percentile). Args: x_test: features in testing set data_name: Syn1, Syn2 or Syn3 test_y_hat: black-box model predictions test_y_fit: ...
(test_c) and estimated local dynamics (test_coef). Args: test_c: ground truth local dynamics test_coef: estimated local dynamics by locally interpretable model Returns: awd: absolute weight difference (AWD) performance result """ # Only for non-zero coefficients test_c_nonzero = 1*(test_c > 0)...
177
177
592
28
148
deepneuralmachine/google-research
rllim/rllim_metrics.py
Python
plot_result
plot_result
123
186
123
124
6f48a90e0a5e7d323263d9515ca09162aa0e1e4f
bigcode/the-stack
train
ba0e68fced66d8e798fa0fa0
train
function
def fidelity_metrics(test_y_hat, test_y_fit, metric): """Computes fidelity metrics. Fidelity is defined as the differences between black-box model. predictions (test_y_hat) and locally interpretable model predictions (test_y_fit). Different metrics can be used such as mae, mse, rmse, r2 score. Args: t...
def fidelity_metrics(test_y_hat, test_y_fit, metric):
"""Computes fidelity metrics. Fidelity is defined as the differences between black-box model. predictions (test_y_hat) and locally interpretable model predictions (test_y_fit). Different metrics can be used such as mae, mse, rmse, r2 score. Args: test_y_hat: black-box model predictions test_y_fit:...
specific language governing permissions and # limitations under the License. """Various metric functions to evaluate locally interpretable models.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import matplotlib.pyplot as plt import numpy as np from s...
75
75
252
13
61
deepneuralmachine/google-research
rllim/rllim_metrics.py
Python
fidelity_metrics
fidelity_metrics
27
57
27
27
c8fdff2ee77b40a2b235ea3bd3a40e3ff83e53db
bigcode/the-stack
train
4db591cab6926a0d88cca6d2
train
function
def awd_metric(test_c, test_coef): """Computes absolute weight difference (AWD) metric. Absolute weight difference (AWD) is defined as the differences between ground truth local dynamics (test_c) and estimated local dynamics (test_coef). Args: test_c: ground truth local dynamics test_coef: estimated l...
def awd_metric(test_c, test_coef):
"""Computes absolute weight difference (AWD) metric. Absolute weight difference (AWD) is defined as the differences between ground truth local dynamics (test_c) and estimated local dynamics (test_coef). Args: test_c: ground truth local dynamics test_coef: estimated local dynamics by locally interpreta...
_auc_score(test_y, test_y_fit) # Accuracy elif metric == 'accuracy': overall_perf = metrics.accuracy_score(np.argmax(test_y, axis=1), np.argmax(test_y_fit, axis=1)) return overall_perf def awd_metric(test_c, test_coef):
64
64
192
10
53
deepneuralmachine/google-research
rllim/rllim_metrics.py
Python
awd_metric
awd_metric
96
120
96
96
ca77b6a59d9ef8120bb9e47da33b0b2c55dc3a35
bigcode/the-stack
train
3aec3a2adf4b86e1ba3d9182
train
function
def overall_performance_metrics(test_y, test_y_fit, metric): """Computes overall performance metrics. Overall performance is defined as the differences between ground truth labels (test_y) and locally interpretable model predictions (test_y_fit). Different metrics can be used such as mae, mse, rmse, auc, accur...
def overall_performance_metrics(test_y, test_y_fit, metric):
"""Computes overall performance metrics. Overall performance is defined as the differences between ground truth labels (test_y) and locally interpretable model predictions (test_y_fit). Different metrics can be used such as mae, mse, rmse, auc, accuracy. Args: test_y: ground truth labels test_y_fit:...
(test_y_hat, test_y_fit) # Root Mean Squared Error elif metric == 'rmse': fidelity = np.sqrt(metrics.mean_squared_error(test_y_hat, test_y_fit)) # R2 Score elif metric == 'r2': fidelity = metrics.r2_score(test_y_hat, test_y_fit) return fidelity def overall_performance_metrics(test_y, test_y_fit, metr...
88
88
294
14
73
deepneuralmachine/google-research
rllim/rllim_metrics.py
Python
overall_performance_metrics
overall_performance_metrics
60
93
60
60
d6c23efd6c391611fd8257e3180fa098fced656d
bigcode/the-stack
train
e37ad49a136608c10c8fa64e
train
function
@app.route('/detection_upload', methods=['POST']) def detection_upload(): try: # We will save the file to disk for possible data collection. imagefile = flask.request.files['imagefile'] filename_ = str(datetime.datetime.now()).replace(' ', '_') + \ werkzeug.utils.secure_f...
@app.route('/detection_upload', methods=['POST']) def detection_upload():
try: # We will save the file to disk for possible data collection. imagefile = flask.request.files['imagefile'] filename_ = str(datetime.datetime.now()).replace(' ', '_') + \ werkzeug.utils.secure_filename(imagefile.filename) filename = os.path.join(UPLOAD_FOLDER,...
draw_rectangles(image_pil, results[1:-1]) new_img_base64 = embed_image_html(image_pil) return flask.render_template( 'index.html', has_result=True, result=results, imagesrc=new_img_base64) @app.route('/detection_upload', methods=['POST']) def detection_upload():
68
68
228
15
53
kristine-li/SSD-Server
test_web.py
Python
detection_upload
detection_upload
155
184
155
156
40c2bb4b28f601dc674cf2094eff976f3445e9f1
bigcode/the-stack
train
0d82804813361057fe9473ae
train
function
def disp_wait_msg(imagesrc): flask.render_template( 'index.html', has_result=True, result=(False, '处理图片中...'), imagesrc=imagesrc )
def disp_wait_msg(imagesrc):
flask.render_template( 'index.html', has_result=True, result=(False, '处理图片中...'), imagesrc=imagesrc )
LOWED_IMAGE_EXTENSIONS ) @app.route('/', methods=['POST', 'GET']) def index(): return flask.render_template('index.html', has_result=False) # fyk def load_img(img_buffer): # image = caffe.io.load_image(string_buffer) pass def disp_wait_msg(imagesrc):
64
64
41
7
56
kristine-li/SSD-Server
test_web.py
Python
disp_wait_msg
disp_wait_msg
105
110
105
105
32c4aa3d1ba56ee9209462e19d7be60e1a7ce81c
bigcode/the-stack
train
148d3ae4e6502a527e179072
train
function
@app.route("/predict", methods=["POST"]) def predict(): # Initialize the data dictionary that will be returned from the view. data = {"success": False} # Ensure an image was properly uploaded to our endpoint. if flask.request.method == 'POST': if flask.request.files.get("image"): # ...
@app.route("/predict", methods=["POST"]) def predict(): # Initialize the data dictionary that will be returned from the view.
data = {"success": False} # Ensure an image was properly uploaded to our endpoint. if flask.request.method == 'POST': if flask.request.files.get("image"): # Read the image in PIL format start = time.time() image = flask.request.files["image"].read() ...
embed_image_html(image_pil): """Creates an image embedded in HTML base64 format.""" size = (512, 512) # (256, 256) resized = image_pil.resize(size) string_buf = BytesIO() resized.save(string_buf, format='png') data = string_buf.getvalue() data = base64.b64encode(data).decode().replace('\n',...
130
130
434
26
104
kristine-li/SSD-Server
test_web.py
Python
predict
predict
257
313
257
259
64b795e5e86776b3f0a5e0749ff691f65ce4b5a6
bigcode/the-stack
train
77f428885493bc404fe9a6fd
train
function
@app.route('/', methods=['POST', 'GET']) def index(): return flask.render_template('index.html', has_result=False)
@app.route('/', methods=['POST', 'GET']) def index():
return flask.render_template('index.html', has_result=False)
'jpe', 'jpeg', 'gif', 'tif', 'tiff']) def allowed_file(filename): return ( '.' in filename and filename.rsplit('.', 1)[1] in ALLOWED_IMAGE_EXTENSIONS ) @app.route('/', methods=['POST', 'GET']) def index():
64
64
26
13
51
kristine-li/SSD-Server
test_web.py
Python
index
index
96
99
96
98
3f62e2c42ea925b1e013b5bfa2d69b9633c5caff
bigcode/the-stack
train
bcee45b2c6ebd9cc82a2b8fa
train
function
def load_img(img_buffer): # image = caffe.io.load_image(string_buffer) pass
def load_img(img_buffer): # image = caffe.io.load_image(string_buffer)
pass
.rsplit('.', 1)[1] in ALLOWED_IMAGE_EXTENSIONS ) @app.route('/', methods=['POST', 'GET']) def index(): return flask.render_template('index.html', has_result=False) # fyk def load_img(img_buffer): # image = caffe.io.load_image(string_buffer)
64
64
20
17
46
kristine-li/SSD-Server
test_web.py
Python
load_img
load_img
102
104
102
103
92786e38ab0484a4123118f216bf82e342f7891f
bigcode/the-stack
train
90ee76017fb8e8a675a4b316
train
function
def prediction(filename): data = [0] start = time.time() print("filename:",filename) threshold = 0.6 #flask.request.files["threshold"].read() image = np.array(Image.open(filename).convert("RGB")) height, width = image.shape[:2] images = transforms(image)[0].unsqueeze(0) load_time = t...
def prediction(filename):
data = [0] start = time.time() print("filename:",filename) threshold = 0.6 #flask.request.files["threshold"].read() image = np.array(Image.open(filename).convert("RGB")) height, width = image.shape[:2] images = transforms(image)[0].unsqueeze(0) load_time = time.time() - start st...
flask.render_template( 'index.html', has_result=True, result=(False, 'Cannot open uploaded image.') ) results = prediction(filename) draw_rectangles(image_pil, results[1:-1]) new_img_base64 = embed_image_html(image_pil) return flask.render_template( 'index.ht...
92
93
311
4
88
kristine-li/SSD-Server
test_web.py
Python
prediction
prediction
188
237
188
188
7d8ed721c5b41cc715360c319e8e92ebcc4cefa5
bigcode/the-stack
train
9e4a87a7cfc69eba4d3752f3
train
function
def transforms(image): x = cv2.resize(image, (300, 300)).astype(np.float32) x -= (104.0, 117.0, 123.0) x = x.astype(np.float32) x = x[:, :, ::-1].copy() # plt.imshow(x) x = torch.from_numpy(x).permute(2, 0, 1) xx = Variable(x.unsqueeze(0)) # wrap tensor in Variable return xx
def transforms(image):
x = cv2.resize(image, (300, 300)).astype(np.float32) x -= (104.0, 117.0, 123.0) x = x.astype(np.float32) x = x[:, :, ::-1].copy() # plt.imshow(x) x = torch.from_numpy(x).permute(2, 0, 1) xx = Variable(x.unsqueeze(0)) # wrap tensor in Variable return xx
.OUTPUT_DIR) checkpointer.load(ckpt, use_latest=ckpt is None) weight_file = ckpt if ckpt else checkpointer.get_checkpoint_file() print('Loaded weights from {}'.format(weight_file)) model.eval() if use_gpu: model.cuda() def transforms(image):
64
64
107
4
60
kristine-li/SSD-Server
test_web.py
Python
transforms
transforms
56
65
56
56
a9fff02c6a4953eea5d502ec20083dc3fe0485d5
bigcode/the-stack
train
ffd7449ecdd42a6d3b1ef654
train
function
@app.route('/detection_url', methods=['GET']) def detection_url(): imageurl = flask.request.args.get('imageurl', '') try: # download raw_data = urllib.request.urlopen(imageurl).read() string_buffer = BytesIO(raw_data) # image = load_img(string_buffer) image_pil = Image.op...
@app.route('/detection_url', methods=['GET']) def detection_url():
imageurl = flask.request.args.get('imageurl', '') try: # download raw_data = urllib.request.urlopen(imageurl).read() string_buffer = BytesIO(raw_data) # image = load_img(string_buffer) image_pil = Image.open(string_buffer) filename = os.path.join(UPLOAD_FOLDER, 't...
xmin, ymin,xmax ,ymax = result['location'] draw.rectangle((xmin,ymin,xmax,ymax), width=2, outline='yellow') draw.text((xmax + 5, ymax + 5), result['predicted_class']+ str(idx), 'yellow') del draw @app.route('/detection_url', methods=['GET']) def detection_url():
81
81
270
15
65
kristine-li/SSD-Server
test_web.py
Python
detection_url
detection_url
121
151
121
122
b2bd31c625b1f5b61fae127951b71405b83ff469
bigcode/the-stack
train
fd368f733183626bc15f2def
train
function
def draw_rectangles(image_pil,det_result): # draw rectangles draw = ImageDraw.Draw(image_pil) for idx, result in enumerate(det_result): xmin, ymin,xmax ,ymax = result['location'] draw.rectangle((xmin,ymin,xmax,ymax), width=2, outline='yellow') draw.text((xmax + 5, ymax + 5), result[...
def draw_rectangles(image_pil,det_result): # draw rectangles
draw = ImageDraw.Draw(image_pil) for idx, result in enumerate(det_result): xmin, ymin,xmax ,ymax = result['location'] draw.rectangle((xmin,ymin,xmax,ymax), width=2, outline='yellow') draw.text((xmax + 5, ymax + 5), result['predicted_class']+ str(idx), 'yellow') del draw
_image(string_buffer) pass def disp_wait_msg(imagesrc): flask.render_template( 'index.html', has_result=True, result=(False, '处理图片中...'), imagesrc=imagesrc ) def draw_rectangles(image_pil,det_result): # draw rectangles
64
64
103
16
48
kristine-li/SSD-Server
test_web.py
Python
draw_rectangles
draw_rectangles
112
119
112
113
963a41350fffd02d21dea113dc6e3b3a9571e3ed
bigcode/the-stack
train
008a789f213307763d2f00c9
train
function
def embed_image_html(image_pil): """Creates an image embedded in HTML base64 format.""" size = (512, 512) # (256, 256) resized = image_pil.resize(size) string_buf = BytesIO() resized.save(string_buf, format='png') data = string_buf.getvalue() data = base64.b64encode(data).decode().replace('\...
def embed_image_html(image_pil):
"""Creates an image embedded in HTML base64 format.""" size = (512, 512) # (256, 256) resized = image_pil.resize(size) string_buf = BytesIO() resized.save(string_buf, format='png') data = string_buf.getvalue() data = base64.b64encode(data).decode().replace('\n', '') return 'data:image/p...
round(load_time * 1000,3), 'inference': round(inference_time * 1000,3), 'FPS': round(1.0 / inference_time,3) } data.append(T) print(data) return data def embed_image_html(image_pil):
64
64
100
8
55
kristine-li/SSD-Server
test_web.py
Python
embed_image_html
embed_image_html
239
248
239
239
97287ef132574769acaedf79b352d139e7ea80b6
bigcode/the-stack
train
b27b53c03fa801f692cebf66
train
function
def default(obj): if isinstance(obj, (numpy.int_, numpy.intc, numpy.intp, numpy.int8, numpy.int16, numpy.int32, numpy.int64, numpy.uint8, numpy.uint16,numpy.uint32, numpy.uint64)): return int(obj) elif isinstance(obj, (numpy.float_, numpy.float16, numpy.float32, numpy.float64)): ...
def default(obj):
if isinstance(obj, (numpy.int_, numpy.intc, numpy.intp, numpy.int8, numpy.int16, numpy.int32, numpy.int64, numpy.uint8, numpy.uint16,numpy.uint32, numpy.uint64)): return int(obj) elif isinstance(obj, (numpy.float_, numpy.float16, numpy.float32, numpy.float64)): return flo...
.float32) x = x[:, :, ::-1].copy() # plt.imshow(x) x = torch.from_numpy(x).permute(2, 0, 1) xx = Variable(x.unsqueeze(0)) # wrap tensor in Variable return xx def default(obj):
64
64
120
4
59
kristine-li/SSD-Server
test_web.py
Python
default
default
69
79
69
69
a3842b19600ae5ffa510fefee5987d1266217213
bigcode/the-stack
train
3b644c521a69304f114c719c
train
function
def load_model(): """Load the pre-trained model, you can use your model just as easily. """ global model ckpt = 'model/vgg_ssd300_voc0712.pth' model = build_detection_model(cfg) checkpointer = CheckPointer(model, save_dir=cfg.OUTPUT_DIR) checkpointer.load(ckpt, use_latest=ckpt is None) ...
def load_model():
"""Load the pre-trained model, you can use your model just as easily. """ global model ckpt = 'model/vgg_ssd300_voc0712.pth' model = build_detection_model(cfg) checkpointer = CheckPointer(model, save_dir=cfg.OUTPUT_DIR) checkpointer.load(ckpt, use_latest=ckpt is None) weight_file = ckpt...
from vizer.draw import draw_boxes # Initialize our Flask application and the PyTorch model. app = flask.Flask(__name__) model = None use_gpu = False from ssd.data.datasets import COCODataset, VOCDataset class_names = VOCDataset.class_names def load_model():
64
64
125
4
59
kristine-li/SSD-Server
test_web.py
Python
load_model
load_model
39
53
39
39
814620f0127e2b386e78928b166981bd91512120
bigcode/the-stack
train
08ad39d1ba4b3dbddc4f9c2c
train
function
def allowed_file(filename): return ( '.' in filename and filename.rsplit('.', 1)[1] in ALLOWED_IMAGE_EXTENSIONS )
def allowed_file(filename):
return ( '.' in filename and filename.rsplit('.', 1)[1] in ALLOWED_IMAGE_EXTENSIONS )
_DIRNAME = os.path.abspath(os.path.dirname(os.path.abspath(__file__)) + '/../..') UPLOAD_FOLDER = 'demo/' ALLOWED_IMAGE_EXTENSIONS = set(['png', 'bmp', 'jpg', 'jpe', 'jpeg', 'gif', 'tif', 'tiff']) def allowed_file(filename):
64
64
33
5
59
kristine-li/SSD-Server
test_web.py
Python
allowed_file
allowed_file
89
93
89
89
cfafef419667674da480fdba28126779d37e3d02
bigcode/the-stack
train
a2db520d87fcc466053bb9d7
train
function
def get_outside_encoded_index(length, offset_cache=None, cuda=False): if offset_cache is None: offset_cache = get_offset_cache(length) index = OutsideIndex() outside_leaf = {} node2leaf = index.get_leaf(length) device = torch.cuda.current_device() if cuda else None for (lvl, pos), lea...
def get_outside_encoded_index(length, offset_cache=None, cuda=False):
if offset_cache is None: offset_cache = get_offset_cache(length) index = OutsideIndex() outside_leaf = {} node2leaf = index.get_leaf(length) device = torch.cuda.current_device() if cuda else None for (lvl, pos), leaf in node2leaf.items(): offset = offset_cache[lvl] idx...
in p_info], dtype=torch.long, device=device) s_index = torch.tensor([get_val(x) for x in s_info], dtype=torch.long, device=device) return p_index, p_info, s_index, s_info def get_outside_encoded_index(length, offset_cache=None, cuda=False):
64
64
122
15
48
iesl/s-diora
outside_index.py
Python
get_outside_encoded_index
get_outside_encoded_index
210
226
210
210
2ab788de8afbdd94d91e0b973aec32f52136cb9c
bigcode/the-stack
train
b5a21b5aa9a8ed6568d09989
train
function
def get_outside_index(length, level, offset_cache=None, cuda=False): if offset_cache is None: offset_cache = get_offset_cache(length) index = OutsideIndex() pairs = index.get_all_pairs(level, length) par_lvl, par_pos = [], [] sis_lvl, sis_pos = [], [] for pair in pairs: par, si...
def get_outside_index(length, level, offset_cache=None, cuda=False):
if offset_cache is None: offset_cache = get_offset_cache(length) index = OutsideIndex() pairs = index.get_all_pairs(level, length) par_lvl, par_pos = [], [] sis_lvl, sis_pos = [], [] for pair in pairs: par, sis = pair par_lvl.append(par[0]) par_pos.append(par[1]...
par[0] par_span = (par_lvl, par_pos) sis_lvl = sis[0] sis_pos = sis[1] - sis[0] sis_span = (sis_lvl, sis_pos) output.append((par_span, sis_span)) return output def get_outside_index(length, level, offset_cache=None, cuda=False):
77
77
259
16
60
iesl/s-diora
outside_index.py
Python
get_outside_index
get_outside_index
133
167
133
133
35bb580964e6f2bdd06d6c5b61361303ad29f478
bigcode/the-stack
train
1b955e354b9e076e5f3dddbf
train
class
class OutsideIndex(object): def get_pairs(self, level, i, n): """ Returns all (parent, sibling) coordinate pairs that are used to construct a node at coordinates (level, i) where there n leaf nodes. """ pairs = [] for level_ in range(level + 1, i + 1): ...
class OutsideIndex(object):
def get_pairs(self, level, i, n): """ Returns all (parent, sibling) coordinate pairs that are used to construct a node at coordinates (level, i) where there n leaf nodes. """ pairs = [] for level_ in range(level + 1, i + 1): p_level = level_ ...
import torch from offset_cache import get_offset_cache class OutsideIndex(object):
16
153
511
5
10
iesl/s-diora
outside_index.py
Python
OutsideIndex
OutsideIndex
6
77
6
6
bfd02df44764d96e0bc1c37286d067cefa0ff704
bigcode/the-stack
train
7d39ca75c58d6c16a25f22dd
train
function
def get_topk_outside_index(length, level, K, offset_cache=None, cuda=False): if offset_cache is None: offset_cache = get_offset_cache(length) L = length - level N = length - level - 1 components = get_outside_components(length, level, offset_cache) p_info, s_info = [], [] for i, (p_sp...
def get_topk_outside_index(length, level, K, offset_cache=None, cuda=False):
if offset_cache is None: offset_cache = get_offset_cache(length) L = length - level N = length - level - 1 components = get_outside_components(length, level, offset_cache) p_info, s_info = [], [] for i, (p_span, s_span) in enumerate(components): p_level, p_pos = p_span ...
index.append(idx) par_index = torch.tensor(index, dtype=torch.long, device=device) # Sibling index = [] for lvl, pos in zip(sis_lvl, sis_pos): offset = offset_cache[lvl] idx = offset + pos index.append(idx) sis_index = torch.tensor(index, dtype=torch.long, device=de...
107
107
357
20
86
iesl/s-diora
outside_index.py
Python
get_topk_outside_index
get_topk_outside_index
170
207
170
170
6ed355b5eb10316a38353a03748b2f5a4ecfd5ec
bigcode/the-stack
train
8555ac51793a0c08fe311679
train
function
def get_outside_target(length, level, offset_cache=None, cuda=False): if offset_cache is None: offset_cache = get_offset_cache(length) L = length - level offset = offset_cache[level] target = [] for i in range(L-1): target.extend(range(offset, offset + L)) device = torch.cuda....
def get_outside_target(length, level, offset_cache=None, cuda=False):
if offset_cache is None: offset_cache = get_offset_cache(length) L = length - level offset = offset_cache[level] target = [] for i in range(L-1): target.extend(range(offset, offset + L)) device = torch.cuda.current_device() if cuda else None target = torch.tensor(target, d...
node2leaf.items(): offset = offset_cache[lvl] idx = offset + pos leaf = torch.tensor(leaf, dtype=torch.long, device=device) outside_leaf[idx] = leaf return outside_leaf def get_outside_target(length, level, offset_cache=None, cuda=False):
64
64
100
16
47
iesl/s-diora
outside_index.py
Python
get_outside_target
get_outside_target
229
242
229
229
186842def3b86d01e4700c7bd18a86e78e0c6e27
bigcode/the-stack
train
7db76ae1e29f8ab022dace66
train
class
class OutsideIndexCheck(object): def __init__(self, index, length, spans, siblings): sib_map = {} for x, y, n in siblings: sib_map[x] = (y, n) sib_map[y] = (x, n) check = {} for sibling, (target, name) in sib_map.items(): xpos = target[0] ...
class OutsideIndexCheck(object):
def __init__(self, index, length, spans, siblings): sib_map = {} for x, y, n in siblings: sib_map[x] = (y, n) sib_map[y] = (x, n) check = {} for sibling, (target, name) in sib_map.items(): xpos = target[0] xsize = target[1] - target[0]...
= n - level for pos in range(L): node2leaf[(level, pos)] = [] for i in range(L-1): offset = level + 1 leaf = (pos + offset + i) % n node2leaf[(level, pos)].append(leaf) return node2leaf class OutsideIndexC...
79
79
264
6
72
iesl/s-diora
outside_index.py
Python
OutsideIndexCheck
OutsideIndexCheck
80
109
80
80
cd5187449f48df6d9dc8aa281aaee60c8757251c
bigcode/the-stack
train
44e4ff4a9cc02f7e261b3185
train
function
def get_outside_components(length, level, offset_cache=None): if offset_cache is None: offset_cache = get_offset_cache(length) index = OutsideIndex() pairs = index.get_all_pairs(level, length) output = [] for pair in pairs: par, sis = pair par_lvl = par[0] par_pos = ...
def get_outside_components(length, level, offset_cache=None):
if offset_cache is None: offset_cache = get_offset_cache(length) index = OutsideIndex() pairs = index.get_all_pairs(level, length) output = [] for pair in pairs: par, sis = pair par_lvl = par[0] par_pos = par[1] - par[0] par_span = (par_lvl, par_pos) ...
idx = poffset + ppos check[(pidx, xidx)] = True self.check = check def is_valid(self, pidx, xidx): return (pidx, xidx) in self.check def get_outside_components(length, level, offset_cache=None):
64
64
141
13
50
iesl/s-diora
outside_index.py
Python
get_outside_components
get_outside_components
112
130
112
112
4fcbe75bcac4a649c99a9b37175d13cb75efb327
bigcode/the-stack
train
d7100905c43c4b014b97ff85
train
class
class CompetitionTeamsTests(TestCase): def setUp(self): self.creator = User.objects.create(email='test@user.com', username='testuser') self.creator.set_password('test') self.creator.save() self.competition = Competition.objects.create(creator=self.creator, modified_by=self.creator) ...
class CompetitionTeamsTests(TestCase):
def setUp(self): self.creator = User.objects.create(email='test@user.com', username='testuser') self.creator.set_password('test') self.creator.save() self.competition = Competition.objects.create(creator=self.creator, modified_by=self.creator) # Not sure why this status doe...
from django.core.files.uploadedfile import SimpleUploadedFile from django.test import TestCase from django.contrib.auth import get_user_model from django.core.urlresolvers import reverse from apps.web.models import Competition, CompetitionParticipant, ParticipantStatus from apps.teams.models import Team, TeamStatus, ...
82
99
331
7
75
abdulari/codalab-competitions
k8s/images/codalab/apps/teams/tests/test_team_creation.py
Python
CompetitionTeamsTests
CompetitionTeamsTests
13
54
13
13
5693f945c62712093dcab870b85834bd50ab6783
bigcode/the-stack
train
61a6209fc38fb68d6f7b15dc
train
function
def run(): #run this to make model data = pd.read_csv("data.csv") #Read CSV data dataset = np.array(data) #Taking in array np.random.shuffle(dataset) #Shuffling the data as to get enough data for training and testing an the first coloumn represents class X = dataset Y = dataset X = X...
def run(): #run this to make model
data = pd.read_csv("data.csv") #Read CSV data dataset = np.array(data) #Taking in array np.random.shuffle(dataset) #Shuffling the data as to get enough data for training and testing an the first coloumn represents class X = dataset Y = dataset X = X[:, 1:2501] # As we have a 50*50 imag...
1), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2), padding='same')) model.add(Conv2D(64, (5, 5), activation='sigmoid')) model.add(MaxPooling2D(pool_size=(5, 5), strides=(5, 5), padding='same')) model.add(Flatten()) model.add(Dense(1024, activation='relu')) model.add...
202
202
676
11
190
AkhilDixit1998/Hand
modelCreate.py
Python
run
run
30
86
30
30
24cac5c1fa08cfd8cdbacb05cfed089787795986
bigcode/the-stack
train
5be3abb8dfc40aa045927802
train
function
def keras_model(im_x, im_y): number_of_classes_available = 15 #Here input the number of classes that you want it is from 0 to class-1 model = Sequential() model.add(Conv2D(32, (5, 5), input_shape=(im_x, im_y, 1), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2), padding='sa...
def keras_model(im_x, im_y):
number_of_classes_available = 15 #Here input the number of classes that you want it is from 0 to class-1 model = Sequential() model.add(Conv2D(32, (5, 5), input_shape=(im_x, im_y, 1), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2), padding='same')) model.add(Conv2D(64...
import numpy as np import matplotlib.pyplot as plt from keras.layers import Dense, Flatten, Conv2D from keras.layers import MaxPooling2D, Dropout from keras.utils import np_utils from keras.models import Sequential from keras.callbacks import ModelCheckpoint import pandas as pd def keras_model(im_x, im_y):
71
78
260
9
61
AkhilDixit1998/Hand
modelCreate.py
Python
keras_model
keras_model
11
28
11
11
70376c7c6fcd3cea533ddcead2b3759736624576
bigcode/the-stack
train
ae211e914493ac71c4fd6ed9
train
class
class GipGame: """ This Class is in charge of the logic of the GitGame""" def __init__(self): self.currentlyPlaying = False self.turnScore = 0 def isWinner(self, player): """ This Method returns a boolean value based on whether or not a player has reached 100 points""" if p...
class GipGame:
""" This Class is in charge of the logic of the GitGame""" def __init__(self): self.currentlyPlaying = False self.turnScore = 0 def isWinner(self, player): """ This Method returns a boolean value based on whether or not a player has reached 100 points""" if player.score >= ...
# Represents Player Name self.turn = turn # Represents whether or not it is a player's turn self.score = 0 # Represents a player's overall score def updateScore(self, score): """ This method updates a player's score""" self.score += score class GipGame:
64
64
90
4
59
james20023355/GipGame
game/gip.py
Python
GipGame
GipGame
722
734
722
722
c45d79a7127852eec6dffa35830ecef3c7a875c6
bigcode/the-stack
train
f015838ab856223c59af7354
train
class
class Ui_GameWindow(object): """ This is the official Game Window""" def __init__(self): super().__init__() self.currentlyPlaying = False self.turnScore = 0 self.introCount = 0 # I know this is a bad way to do it but i dont want to learn PyQT Threading sorry def setupUi(sel...
class Ui_GameWindow(object):
""" This is the official Game Window""" def __init__(self): super().__init__() self.currentlyPlaying = False self.turnScore = 0 self.introCount = 0 # I know this is a bad way to do it but i dont want to learn PyQT Threading sorry def setupUi(self, GameWindow): GameW...
self.p1Entry.text() and self.p2Entry.text() != None: self.window = QtWidgets.QMainWindow() self.ui = Ui_GameWindow() self.ui.setupUi(self.window) self.setGameWindowText() self.p1Entry.clear() self.p2Entry.clear() self.window.show() ...
256
256
5,613
6
250
james20023355/GipGame
game/gip.py
Python
Ui_GameWindow
Ui_GameWindow
210
696
210
210
1ba533391929a7d9a0023598e7e2c7db490a91bd
bigcode/the-stack
train
889c53187c372e32af6f0598
train
class
class Ui_StartWindow(object): """ This is the Start Window of the Application""" def setupUi(self, StartWindow): StartWindow.setObjectName("StartWindow") StartWindow.resize(597, 396) self.centralwidget = QtWidgets.QWidget(StartWindow) self.centralwidget.setObjectName("centralwidg...
class Ui_StartWindow(object):
""" This is the Start Window of the Application""" def setupUi(self, StartWindow): StartWindow.setObjectName("StartWindow") StartWindow.resize(597, 396) self.centralwidget = QtWidgets.QWidget(StartWindow) self.centralwidget.setObjectName("centralwidget") self.titleLbl = Q...
""" This File Contains the code for the Git Game Author: James Penales """ import time import sys from PyQt5 import QtCore, QtGui, QtWidgets, QtTest from PyQt5.QtWidgets import QMessageBox class Ui_StartWindow(object):
57
256
1,451
6
50
james20023355/GipGame
game/gip.py
Python
Ui_StartWindow
Ui_StartWindow
12
120
12
12
3da424d4a384f3e03c96e40cdc0e185ad340babe
bigcode/the-stack
train
dd0c90b6646f0fab7d00d134
train
class
class Player: """ This class is to represent a real world player""" def __init__(self, name, turn): self.name = name # Represents Player Name self.turn = turn # Represents whether or not it is a player's turn self.score = 0 # Represents a player's overall score def updateScore(se...
class Player:
""" This class is to represent a real world player""" def __init__(self, name, turn): self.name = name # Represents Player Name self.turn = turn # Represents whether or not it is a player's turn self.score = 0 # Represents a player's overall score def updateScore(self, score): ...
("GipGame") mbox.setIcon(QMessageBox.Question) mbox.setText(f"{p2.name} wins! with {p2.score}pts.") mbox.setStandardButtons(QMessageBox.Ok) mbox.exec_() self.centralwidget.close() class Player:
62
64
91
3
59
james20023355/GipGame
game/gip.py
Python
Player
Player
709
718
709
709
f381b3157924e241aa236b54fd0a01e3a79fdc2d
bigcode/the-stack
train