view .hgtags @ 3059:02b220984b01

topics: use stack.stack() instead of stack.stackdata()

stack.stackdata() also calls stack.stack() internally. Moreover if we just want
to calculate changesetcount, troubled count, it will be cheap to calculate using
stack.stack rather than stackdata().

6c6bb7a23bb5125bf06da73265f039dd3447dafa 0.1.0
d3f20770b86a31dba56ae7b252089e12b34702da 0.2.0
c046b083a5e0b21af69027f31cee141800cf894b 0.3.0
9bbcd274689829d9239978236e16610688978233 0.4.0
4ecbaec1d664b1e6f8ebc78292e1ced77a8e69c0 0.4.1
7ef8ab8c6feadb8a9d9e13af144a17cb23e9a38d 0.5
4a5488c01a66be4729252175cea0ea739a88a540 0.6
18a0d96ed559089edf90206c469f3f8c26681c64 0.7
1b2757c1bd918509184f6c1d06b2329a847e31b0 0.7
b18b000363550f02f413aed008f8e306318c608c 1.0.0
ca5bb72d14aeb6e6053e3a53c064a2b7dc8010e5 1.0.1
b1bdcb4506defef0e857e2710633f7686d8034a5 1.0.2
5559e5a4b656978c592d364f242edc62369d7e84 1.0.2
c062edbcaf13135d0312fd2039deca74573ff4f0 1.1.0
22cacfce2a65ab965c6179ae862b148f4abc7d8a 1.1.0
d43e80504e55db9ad4826e860e50530103a27b0f 2.0.0
f9d305deeff3dba782e65faf4ef3fd1569995859 2.1.0
862b6b71a35836e81f090ba7229c2888e8ed2f9f 3.0.0
cdb52bbbe5b8770d5e68943b7e73bee4ba136ecc 3.1.0
c3ba8a965a7a173e388d84819e936ea9bae9797f 3.2.0
83882f2fbecba0b7e7f7e5d490b57db93bd7fa22 3.3.0
fc04758ea9f549684989ee673b04d9724756dc85 3.3.1
a03ea39aca2a66ea36817512d586dcbc99dbfe9b 3.3.2
0304fc2bab158658df53a8f4edd5aa300a9497d2 4.0.0
e914884fb7210d6350d94909cb25ebc602359680 4.0.1
4d5d101e878f6d6264a8e036b11afdf922c4ef94 4.1.0
c13b408c00066af78cda88734909c6f2f3505f76 5.0.0
51e1e962172c0178394cd36652d90181319f5416 5.0.1
0f30907852831f818bd0d01141b4ab7d8d71b821 5.0.1
dbd0733e584073d6a7b6dea933767853e9cfe845 5.0.2
bfe9be352453640233371cc7deb409a09decacf9 5.1.0
9b8628e0a142e0e094e27430c388e3c12ceba513 5.1.1
e886bc501796d53e0a19e608c6e5a6071191819e 5.1.2
c52c15100fb2d85c3525d6d085b3663ec4f90fe6 5.1.3
891c3ce894fa879532299910735bcc2a968245b1 5.1.4
1377f6a7f9ecb25e9b8885fce8f6f42e0d6f3f12 5.1.5
c79bdc8563509cd4e99946593d0b39af40271a30 5.2.0
00026533ff9f52733a45df008e3d56a5d3a8e76a 5.2.0
44a9dcb3fefcf8281ebe4e359e7dbb637512cf7f 5.2.0
c15d6168412f175568dac89e6ee1cd8434fef906 5.2.1
bd59cc2ee2039c370a0343f683488cde2a106565 5.3.0
b21ce82e6f7640c2b38506545968650227d67e9b 5.4.0
2ad40d972a740a613c4c559104166a015b37cac2 5.4.1
727c7211c810d304ebf92b32db7ecf697ce46ac6 5.5.0
99ede2d775458a236a46ad25a93aca473b676eee 5.6.0
99ede2d775458a236a46ad25a93aca473b676eee 5.6.0
e7b6e9c4a5d4317f56c2862910c569723b6ea71b 5.6.0
70694b2621ba9d919bc38303f8901e84caf5da0f 5.6.1
165ad227993de4e7d819cc6c820d5b9f7b38b80d 6.0.0
5ef112a6eb875633a7925cde61b7d2d9e65b3a56 6.0.1
8510d3fd7c3b312dc731f4c29badc415d504558a 6.1.0
d4ee0274a8efbaf3d73a659998248c379c61c2bf 6.2.0
0af99106b0754426913b5c82fb52dc70d4d299f6 6.2.1
6da4ca7b3e4fc214a363a5cf723554f114b7f51e 6.3.0
e358c0263e4629746a7c925429c951f67d4b02b1 6.3.1
e60248f26f923f4460682252f7863ff86f7b86b0 6.4.0
734c0bc066cdc0121a20a9cb44c8cc30c653be94 6.5.0
cc3e09e033a3c632c9ac35badbf8b5d53f584049 6.6.0
3a4f75c6619c7ef7d78ee0912efd6cb01d55b521 6.7.0
430ad68292d76b9387d1eeadf289951f51fd88d3 6.7.1