index int64 | statement_id int64 | statement string | lineno int64 | end_lineno int64 | comprehension_types list | metadata dict |
|---|---|---|---|---|---|---|
258 | 42 | p.set_objective(p.sum([b[i] for i in range(self.num_blocks())])) | 1,424 | 1,424 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 43 | return [[self._points[x] for x in self._blocks[i]]
for i, v in six.iteritems(p.get_values(b)) if v] | 1,428 | 1,429 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 44 | if (any(len(block) != k for block in self._blocks) or # non k-uniform
v != self.num_points()):
return (False, (0,0,0,0)) if return_parameters else False | 1,568 | 1,570 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 45 | gB.append([x-1 for x in b]) | 1,776 | 1,776 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 46 | g.add_edges((i+n,x) for i,b in enumerate(self._blocks) for x in b) | 1,821 | 1,821 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 47 | gens = [[tuple([self._points[i] for i in cycle if (not cycle or cycle[0]<n)])
for cycle in g.cycle_tuples()]
for g in ag.gens()] | 1,826 | 1,828 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 48 | gens = [[tuple(cycle) for cycle in g.cycle_tuples() if (not cycle or cycle[0]<n)]
for g in ag.gens()] | 1,830 | 1,831 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 49 | dual = [[] for i in domain] | 1,930 | 1,930 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 50 | p.add_constraint(p.sum(b[t,i] for i in dual[x]) == 1) | 1,938 | 1,938 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 51 | p.add_constraint(p.sum(b[t,i] for t in range(n_classes)) == 1) | 1,942 | 1,942 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 52 | self._classes = [[] for _ in range(n_classes)] | 1,950 | 1,950 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 53 | assert sorted(id(c) for cls in self._classes for c in cls) == sorted(id(b) for b in self._blocks), "some set does not appear exactly once" | 1,956 | 1,956 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 54 | classes = [[block[:] for block in classs] for classs in self._classes] | 1,966 | 1,966 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 55 | classes = [[[self._points[i] for i in block] for block in classs] for classs in self._classes] | 1,968 | 1,968 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 56 | elif any(len(x) == 1 for x in self._blocks):
raise RuntimeError("No coloring can be defined "
"when there is a set of size 1")
elif k == 1:
if any(x for x in self._blocks):
raise ValueError("This hypergraph contains a set. "
... | 2,036 | 2,043 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 57 | if any(x for x in self._blocks):
raise ValueError("This hypergraph contains a set. "
"It is not 1-chromatic") | 2,040 | 2,042 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 58 | p.add_constraint(p.sum(b[x,i] for i in range(k)) == 1) | 2,050 | 2,050 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 59 | p.add_constraint(p.sum(b[x,i] for x in s) <= len(s)-1) | 2,054 | 2,054 | [
"GeneratorExp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 60 | col = [[] for i in range(k)] | 2,061 | 2,061 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 61 | blocks_sets = [frozenset(_) for _ in blocks] | 2,094 | 2,094 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 62 | return [[blocks[i] for i in C] for C in g.coloring(algorithm="MILP")] | 2,096 | 2,096 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 63 | return {k[1]: (round(x, 3), round(y, 3))
for k, (x, y) in g.get_pos().items()} | 2,144 | 2,145 | [
"DictComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 64 | colored_sets = [(s,i) for i,S in enumerate(self.edge_coloring()) for s in S] | 2,187 | 2,187 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
258 | 65 | s = [pos[_] for _ in s] | 2,209 | 2,209 | [
"ListComp"
] | {
"hexsha": "f700a8f4cec9fde4e8d43839bae356ee49f0283c",
"max_stars_repo_name": "bopopescu/sagemath",
"max_stars_repo_path": "src/sage/combinat/designs/incidence_structures.py",
"lang": "Python"
} |
260 | 0 | return {key: _apply(value) for key, value in x.items()} | 60 | 60 | [
"DictComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 1 | return [_apply(x) for x in x] | 62 | 62 | [
"ListComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 2 | return tuple(_apply(x) for x in x) | 64 | 64 | [
"GeneratorExp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 3 | return {_apply(x) for x in x} | 66 | 66 | [
"SetComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 4 | embed_dict[pieces[0]] = torch.Tensor(
[float(weight) for weight in pieces[1:]]
) | 154 | 156 | [
"ListComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 5 | norms += [torch.norm(g, p=2, dtype=torch.float32) for g in cur_device_grads] | 278 | 278 | [
"ListComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 6 | grads = [p.grad.detach() for p in filter(lambda p: p.grad is not None, params)] | 287 | 287 | [
"ListComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 7 | total_norm = torch.norm(
torch.stack([torch.norm(g, p=2, dtype=torch.float32) for g in grads])
) | 304 | 306 | [
"ListComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 8 | word_start = [int(token not in exclude_list) for token in tokens] | 524 | 524 | [
"ListComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
260 | 9 | token_to_word = {i: word_idx[i] for i in range(n)} | 526 | 526 | [
"DictComp"
] | {
"hexsha": "f700a9a5b731462eee5cc0aaf1dfbb70ffdaf312",
"max_stars_repo_name": "xiaodashuaiya/fairseq",
"max_stars_repo_path": "fairseq/utils.py",
"lang": "Python"
} |
261 | 0 | hubs_dict = {h:[] for h in hubs} | 66 | 66 | [
"DictComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 1 | attended_train = [train[idx] for idx in highest_attn] | 70 | 70 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 2 | idx2loc = {idx:loc for loc, idx in loc2idx.items()} | 99 | 99 | [
"DictComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 3 | idxs = [idx for idx in range(n_states)] | 100 | 100 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 4 | hiddens = [[] for i in range(2)] | 113 | 113 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 5 | hiddens_cong = [[] for i in range(2)] | 114 | 114 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 6 | hiddens_incong = [[] for i in range(2)] | 115 | 115 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 7 | hiddens_ctxs = [[[] for j in range(args.N_contexts)] for i in range(2)] | 116 | 116 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 8 | hiddens_ctxs = [[] for i in range(args.N_contexts)] | 121 | 121 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 9 | idxs1_ctxs = [[] for i in range(args.N_contexts)] | 125 | 125 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 10 | idxs2_ctxs = [[] for i in range(args.N_contexts)] | 126 | 126 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 11 | samples_ctxs = [[] for i in range(args.N_contexts)] | 128 | 128 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 12 | temp1 = [np.expand_dims(hiddens[i,f1_ind,:], axis=0)
for i, idx1 in enumerate(idxs1) if idx1==f] | 254 | 255 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 13 | temp2 = [np.expand_dims(hiddens[i,f2_ind,:], axis=0)
for i, idx2 in enumerate(idxs2) if idx2==f] | 256 | 257 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 14 | temp1_ctxs = [hiddens_ctxs[ctx,i,f1_ind,:]
for i, idx1 in enumerate(idxs1_ctxs[ctx]) if idx1==f] | 261 | 262 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 15 | temp2_ctxs = [hiddens_ctxs[ctx,i,f2_ind,:]
for i, idx2 in enumerate(idxs2_ctxs[ctx]) if idx2==f] | 263 | 264 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 16 | temp = [hiddens[i,:]
for i, (idx1, idx2) in enumerate(zip(idxs1, idxs2))
if ((idx1==f) | (idx2==f))] | 275 | 277 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 17 | temp_ctxs = [hiddens_ctxs[ctx][i]
for i, (idx1, idx2) in enumerate(zip(idxs1_ctxs[ctx], idxs2_ctxs[ctx]))
if ((idx1==f) | (idx2==f))] | 281 | 283 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 18 | temp1 = [hiddens[0,i,:]
for i, idx1 in enumerate(idxs1) if idx1==f] | 293 | 294 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 19 | temp2 = [hiddens[1,i,:]
for i, idx2 in enumerate(idxs2) if idx2==f] | 295 | 296 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 20 | temp1_ctxs = [hiddens_ctxs[0,ctx,i,:]
for i, idx1 in enumerate(idxs1_ctxs[ctx]) if idx1==f] | 303 | 304 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 21 | temp2_ctxs = [hiddens_ctxs[1,ctx,i,:]
for i, idx2 in enumerate(idxs2_ctxs[ctx]) if idx2==f] | 305 | 306 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 22 | hiddens_ctxs = [np.concatenate(h, axis=0) for h in hiddens_ctxs] | 356 | 356 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 23 | idx2loc = {idx:loc for loc, idx in loc2idx.items()} | 390 | 390 | [
"DictComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 24 | idxs = [idx for idx in range(n_states)] | 391 | 391 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 25 | hidd_dists_ctxs = [[] for i in range(N_contexts)] | 397 | 397 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 26 | grid_1ds_ctxs = [[] for i in range(N_contexts)] | 398 | 398 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 27 | idx2loc = {idx:loc for loc, idx in loc2idx.items()} | 455 | 455 | [
"DictComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 28 | idxs = [idx for idx in range(n_states)] | 456 | 456 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 29 | idx2loc = {idx:loc for loc, idx in loc2idx.items()} | 561 | 561 | [
"DictComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 30 | idxs = [idx for idx in range(n_states)] | 562 | 562 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 31 | locs = [idx2loc[idx] for idx in idxs] | 563 | 563 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 32 | p_val, t_val, param, bse = ([[] for i in range(2)] for i in range(4)) | 751 | 751 | [
"GeneratorExp",
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 33 | p_val, t_val, param, bse = ([[] for i in range(2)] for i in range(4)) | 770 | 770 | [
"GeneratorExp",
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 34 | p_val, t_val, param, y_hat_E, y, bse = ([[] for i in range(2)] for i in range(6)) | 824 | 824 | [
"GeneratorExp",
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 35 | p_val, t_val, param, bse = ([[] for i in range(2)] for i in range(4)) | 842 | 842 | [
"GeneratorExp",
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 36 | p_vals, t_vals, params, bses = ([[] for i in range(2)] for i in range(4)) | 871 | 871 | [
"GeneratorExp",
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 37 | p_vals, t_vals, params, bses = ([] for i in range(4)) | 873 | 873 | [
"GeneratorExp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 38 | s_idxs = [i for i, sample in enumerate(samples) if state not in sample] | 876 | 876 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 39 | s_idxs = [i for i, sample in enumerate(samples) if ((0 not in sample) & (15 not in sample))] | 899 | 899 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 40 | s_idxs = [i for i, sample in enumerate(samples) if ((0 not in sample) & (15 not in sample) &
(3 not in sample) & (12 not in sample))] | 920 | 921 | [
"ListComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
261 | 41 | idx2loc = {idx:loc for loc, idx in test_data.loc2idx.items()} | 966 | 966 | [
"DictComp"
] | {
"hexsha": "f700a9eaeb9d656f880043ec173164ac3cfad160",
"max_stars_repo_name": "MaryZolfaghar/WCSLS",
"max_stars_repo_path": "utils/analyze.py",
"lang": "Python"
} |
274 | 0 | rects = [x for x in ax.get_children() if isinstance(x, Rectangle)] | 239 | 239 | [
"ListComp"
] | {
"hexsha": "f700b2934cd8c92e5e974a0aa261366b0abef8fe",
"max_stars_repo_name": "EkremBayar/bayar",
"max_stars_repo_path": "venv/Lib/site-packages/pandas/tests/plotting/test_hist_method.py",
"lang": "Python"
} |
274 | 1 | result = [axes[0, i].get_title() for i in range(3)] | 379 | 379 | [
"ListComp"
] | {
"hexsha": "f700b2934cd8c92e5e974a0aa261366b0abef8fe",
"max_stars_repo_name": "EkremBayar/bayar",
"max_stars_repo_path": "venv/Lib/site-packages/pandas/tests/plotting/test_hist_method.py",
"lang": "Python"
} |
274 | 2 | rects = [x for x in ax.get_children() if isinstance(x, Rectangle)] | 486 | 486 | [
"ListComp"
] | {
"hexsha": "f700b2934cd8c92e5e974a0aa261366b0abef8fe",
"max_stars_repo_name": "EkremBayar/bayar",
"max_stars_repo_path": "venv/Lib/site-packages/pandas/tests/plotting/test_hist_method.py",
"lang": "Python"
} |
277 | 0 | _LOG.info("run%s: %s", cwd_str, " ".join(shlex.quote(a) for a in cmd_args)) | 75 | 75 | [
"GeneratorExp"
] | {
"hexsha": "f700b5774c7202e1709ce0393be8b037314148e8",
"max_stars_repo_name": "BaldLee/tvm",
"max_stars_repo_path": "apps/microtvm/zephyr/template_project/microtvm_api_server.py",
"lang": "Python"
} |
277 | 1 | CMAKE_BOOL_MAP = dict(
[(k, True) for k in ("1", "ON", "YES", "TRUE", "Y")]
+ [(k, False) for k in ("0", "OFF", "NO", "FALSE", "N", "IGNORE", "NOTFOUND", "")]
) | 82 | 85 | [
"ListComp"
] | {
"hexsha": "f700b5774c7202e1709ce0393be8b037314148e8",
"max_stars_repo_name": "BaldLee/tvm",
"max_stars_repo_path": "apps/microtvm/zephyr/template_project/microtvm_api_server.py",
"lang": "Python"
} |
277 | 2 | fpu_boards = [name for name, board in BOARD_PROPERTIES.items() if board["fpu"]] | 446 | 446 | [
"ListComp"
] | {
"hexsha": "f700b5774c7202e1709ce0393be8b037314148e8",
"max_stars_repo_name": "BaldLee/tvm",
"max_stars_repo_path": "apps/microtvm/zephyr/template_project/microtvm_api_server.py",
"lang": "Python"
} |
277 | 3 | ports = [p for p in serial.tools.list_ports.grep(serial_number)] | 540 | 540 | [
"ListComp"
] | {
"hexsha": "f700b5774c7202e1709ce0393be8b037314148e8",
"max_stars_repo_name": "BaldLee/tvm",
"max_stars_repo_path": "apps/microtvm/zephyr/template_project/microtvm_api_server.py",
"lang": "Python"
} |
279 | 0 | xs = tuple([ext.new_tensor_like("%s x" % p.name, p) for p in params]) | 28 | 28 | [
"ListComp"
] | {
"hexsha": "f700b5ea0958a3f503dbde8209de66f43cecf0b2",
"max_stars_repo_name": "RussellM2020/maml_gps",
"max_stars_repo_path": "rllab/optimizers/conjugate_gradient_optimizer.py",
"lang": "Python"
} |
279 | 1 | Hx_plain_splits = TT.grad(
TT.sum([TT.sum(g * x)
for g, x in zip(constraint_grads, xs)]),
wrt=params,
disconnected_inputs='warn'
) | 31 | 36 | [
"ListComp"
] | {
"hexsha": "f700b5ea0958a3f503dbde8209de66f43cecf0b2",
"max_stars_repo_name": "RussellM2020/maml_gps",
"max_stars_repo_path": "rllab/optimizers/conjugate_gradient_optimizer.py",
"lang": "Python"
} |
279 | 2 | return TT.concatenate([TT.flatten(s) for s in Hx_plain_splits]) | 37 | 37 | [
"ListComp"
] | {
"hexsha": "f700b5ea0958a3f503dbde8209de66f43cecf0b2",
"max_stars_repo_name": "RussellM2020/maml_gps",
"max_stars_repo_path": "rllab/optimizers/conjugate_gradient_optimizer.py",
"lang": "Python"
} |
279 | 3 | flat_xs = np.concatenate([np.reshape(x, (-1,)) for x in xs]) | 79 | 79 | [
"ListComp"
] | {
"hexsha": "f700b5ea0958a3f503dbde8209de66f43cecf0b2",
"max_stars_repo_name": "RussellM2020/maml_gps",
"max_stars_repo_path": "rllab/optimizers/conjugate_gradient_optimizer.py",
"lang": "Python"
} |
279 | 4 | subsample_inputs += tuple([x[inds] for x in inputs_grouped]) | 242 | 242 | [
"ListComp"
] | {
"hexsha": "f700b5ea0958a3f503dbde8209de66f43cecf0b2",
"max_stars_repo_name": "RussellM2020/maml_gps",
"max_stars_repo_path": "rllab/optimizers/conjugate_gradient_optimizer.py",
"lang": "Python"
} |
281 | 0 | ax.plot(date_list, [float(g) for g in date_expense_list], label="Expenses") | 118 | 118 | [
"ListComp"
] | {
"hexsha": "f700b617b69a760f427812c69e5b061c7327a011",
"max_stars_repo_name": "ngwenbin/ExpenseTracker",
"max_stars_repo_path": "app.py",
"lang": "Python"
} |
281 | 1 | axs.bar(cat_list, [float(g) for g in sum_list]) | 224 | 224 | [
"ListComp"
] | {
"hexsha": "f700b617b69a760f427812c69e5b061c7327a011",
"max_stars_repo_name": "ngwenbin/ExpenseTracker",
"max_stars_repo_path": "app.py",
"lang": "Python"
} |
287 | 0 | flags = {k: v for k, v in data.items() if k in flag_keys} | 111 | 111 | [
"DictComp"
] | {
"hexsha": "f700bc34071ef6d48c20c00c6d54dbc8afe7de28",
"max_stars_repo_name": "sthapa/froide",
"max_stars_repo_path": "froide/foirequest/services.py",
"lang": "Python"
} |
287 | 1 | publicbody_ids = [pb.pk for pb in data["publicbodies"]] | 152 | 152 | [
"ListComp"
] | {
"hexsha": "f700bc34071ef6d48c20c00c6d54dbc8afe7de28",
"max_stars_repo_name": "sthapa/froide",
"max_stars_repo_path": "froide/foirequest/services.py",
"lang": "Python"
} |
289 | 0 | files_list = [file.filename for file in get_files(git_object)] | 95 | 95 | [
"ListComp"
] | {
"hexsha": "f700bd3e668d5f4fe3f075fecf18bb44137fc1c9",
"max_stars_repo_name": "vincenttran-msft/azure-sdk-for-python",
"max_stars_repo_path": "tools/azure-sdk-tools/packaging_tools/swaggertosdk/SwaggerToSdkCore.py",
"lang": "Python"
} |
289 | 1 | filenames = [file.filename.lower() for file in get_files(git_object)] | 134 | 134 | [
"ListComp"
] | {
"hexsha": "f700bd3e668d5f4fe3f075fecf18bb44137fc1c9",
"max_stars_repo_name": "vincenttran-msft/azure-sdk-for-python",
"max_stars_repo_path": "tools/azure-sdk-tools/packaging_tools/swaggertosdk/SwaggerToSdkCore.py",
"lang": "Python"
} |
289 | 2 | readme_lang = [name for name in filenames if re.match(r"(.*)readme.\w+.md", name)] | 135 | 135 | [
"ListComp"
] | {
"hexsha": "f700bd3e668d5f4fe3f075fecf18bb44137fc1c9",
"max_stars_repo_name": "vincenttran-msft/azure-sdk-for-python",
"max_stars_repo_path": "tools/azure-sdk-tools/packaging_tools/swaggertosdk/SwaggerToSdkCore.py",
"lang": "Python"
} |
289 | 3 | return bool([name for name in readme_lang if name.endswith("readme.{}.md".format(lang))]) | 140 | 140 | [
"ListComp"
] | {
"hexsha": "f700bd3e668d5f4fe3f075fecf18bb44137fc1c9",
"max_stars_repo_name": "vincenttran-msft/azure-sdk-for-python",
"max_stars_repo_path": "tools/azure-sdk-tools/packaging_tools/swaggertosdk/SwaggerToSdkCore.py",
"lang": "Python"
} |
289 | 4 | files_list = [file.filename for file in get_files(git_object)] | 144 | 144 | [
"ListComp"
] | {
"hexsha": "f700bd3e668d5f4fe3f075fecf18bb44137fc1c9",
"max_stars_repo_name": "vincenttran-msft/azure-sdk-for-python",
"max_stars_repo_path": "tools/azure-sdk-tools/packaging_tools/swaggertosdk/SwaggerToSdkCore.py",
"lang": "Python"
} |
289 | 5 | for expected_readme in [l for l in expected_folder.iterdir() if l.is_file()]:
# Need to do a case-insensitive test.
match = re.match(r"readme.\w*.?md", expected_readme.name, re.I)
if match:
readme_files.add(expected_readme.relative_to(Path(base_dir))) | 159 | 163 | [
"ListComp"
] | {
"hexsha": "f700bd3e668d5f4fe3f075fecf18bb44137fc1c9",
"max_stars_repo_name": "vincenttran-msft/azure-sdk-for-python",
"max_stars_repo_path": "tools/azure-sdk-tools/packaging_tools/swaggertosdk/SwaggerToSdkCore.py",
"lang": "Python"
} |
289 | 6 | readme_files_in_pr = {
readme for readme in swagger_files_in_pr if getattr(readme, "name", readme).lower().endswith("readme.md")
} | 190 | 192 | [
"SetComp"
] | {
"hexsha": "f700bd3e668d5f4fe3f075fecf18bb44137fc1c9",
"max_stars_repo_name": "vincenttran-msft/azure-sdk-for-python",
"max_stars_repo_path": "tools/azure-sdk-tools/packaging_tools/swaggertosdk/SwaggerToSdkCore.py",
"lang": "Python"
} |
289 | 7 | input_files = [Path(input_file) for input_file in input_files] | 274 | 274 | [
"ListComp"
] | {
"hexsha": "f700bd3e668d5f4fe3f075fecf18bb44137fc1c9",
"max_stars_repo_name": "vincenttran-msft/azure-sdk-for-python",
"max_stars_repo_path": "tools/azure-sdk-tools/packaging_tools/swaggertosdk/SwaggerToSdkCore.py",
"lang": "Python"
} |
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