data/pytorch-ignite-0.4.2/CONTRIBUTING.md:106: DONT'T ==> DON'T
data/pytorch-ignite-0.4.2/CONTRIBUTING.md:135: specif ==> specify, specific
data/pytorch-ignite-0.4.2/docs/source/distributed.rst:38: optimizier ==> optimizer
data/pytorch-ignite-0.4.2/docs/source/faq.rst:367: Simpliest ==> Simplest
data/pytorch-ignite-0.4.2/docs/source/metrics.rst:89: arithmetics ==> arithmetic
data/pytorch-ignite-0.4.2/docs/source/metrics.rst:92: arithmetics ==> arithmetic
data/pytorch-ignite-0.4.2/docs/source/metrics.rst:232: interal ==> internal, interval, integral
data/pytorch-ignite-0.4.2/docs/source/contrib/engines.rst:9: Throught ==> Thought, through, throughout
data/pytorch-ignite-0.4.2/examples/contrib/cifar10/main.py:82: wont ==> won't
data/pytorch-ignite-0.4.2/examples/gan/dcgan.py:219: netowrks ==> networks
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar100_bench_amp.ipynb:280: arount ==> around
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:519: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: FRO ==> FOR, FROM
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: SOM ==> SOME
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: THA ==> THAN, THAT, THE
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: curveLinear ==> curvilinear
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ba ==> By, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ba ==> By, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ba ==> By, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ba ==> By, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: tittle ==> title
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: tittle ==> title
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: tittle ==> title
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: tittle ==> title
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: tittle ==> title
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: tittle ==> title
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: expecially ==> especially
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: inout ==> input, in out
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ba ==> by, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ba ==> By, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Fo ==> Of, for
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ba ==> By, be
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ue ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: requred ==> required
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ue ==> Use, due
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: lod ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: lod ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: lod ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: lod ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: lod ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: lod ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: lod ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: lod ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Unrecoginized ==> Unrecognized
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Pash ==> Hash
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Som ==> Some
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Som ==> Some
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Mor ==> More
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: leapYear ==> leap year
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: doesnt ==> doesn't, does not
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: doubleClick ==> double-click
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: doubleClick ==> double-click
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: afterall ==> after all
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: afterall ==> after all
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: doubleClick ==> double-click
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: aline ==> align, a line, line, saline
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: aline ==> align, a line, line, saline
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: aline ==> align, a line, line, saline
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: aline ==> align, a line, line, saline
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: loD ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: loD ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: loD ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: loD ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: loD ==> load
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: originalY ==> originally
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/Cifar10_Ax_hyperparam_tuning.ipynb:834: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: UE ==> USE, DUE
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: WaN ==> want
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: tE ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: UE ==> USE, DUE
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: FwE ==> few
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:593: nD ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:644: fro ==> for, from
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:644: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:644: Nd ==> And, 2nd
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:644: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:2052: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: TE ==> THE, BE, WE
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: nd ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: oT ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: ihS ==> his
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: uE ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: oT ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3581: tE ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3681: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3681: uE ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3681: ND ==> AND, 2ND
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3681: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_nvidia_apex.ipynb:3681: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: UE ==> USE, DUE
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: WaN ==> want
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: tE ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: UE ==> USE, DUE
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: FwE ==> few
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:538: nD ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:589: fro ==> for, from
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:589: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:589: Nd ==> And, 2nd
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:589: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:1975: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3840: WIH ==> WITH
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3840: hDa ==> had
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3840: OT ==> TO, OF, OR
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3840: Ba ==> By, be
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3940: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3940: Vie ==> Via
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3940: nD ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3940: PALN ==> PLAN, PAIN, PALM
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3940: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3940: whe ==> when, we
data/pytorch-ignite-0.4.2/examples/notebooks/CycleGAN_with_torch_cuda_amp.ipynb:3940: uE ==> use, due
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:70: pacakge ==> package
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:773: nd ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:773: OT ==> TO, OF, OR
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:773: wAN ==> want
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:773: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:773: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:773: yHe ==> the
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:773: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:964: ot ==> to, of, or
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:964: fLE ==> file
data/pytorch-ignite-0.4.2/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb:964: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/FashionMNIST.ipynb:183: dowloading ==> downloading
data/pytorch-ignite-0.4.2/examples/notebooks/FashionMNIST.ipynb:361: untill ==> until
data/pytorch-ignite-0.4.2/examples/notebooks/FashionMNIST.ipynb:715: actul ==> actual
data/pytorch-ignite-0.4.2/examples/notebooks/FashionMNIST.ipynb:763: Refrences ==> References
data/pytorch-ignite-0.4.2/examples/notebooks/MNIST_on_TPU.ipynb:3008: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/notebooks/TextCNN.ipynb:543: succeding ==> succeeding
data/pytorch-ignite-0.4.2/examples/notebooks/TextCNN.ipynb:658: progess ==> progress
data/pytorch-ignite-0.4.2/examples/notebooks/TextCNN.ipynb:774: progess ==> progress
data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:406: succeding ==> succeeding
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data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:637: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:652: ede ==> edge
data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:652: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:653: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:668: TE ==> THE, BE, WE
data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:668: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:668: TE ==> THE, BE, WE
data/pytorch-ignite-0.4.2/examples/notebooks/VAE.ipynb:684: uE ==> use, due
data/pytorch-ignite-0.4.2/examples/references/classification/imagenet/README.md:27: privides ==> provides
data/pytorch-ignite-0.4.2/examples/references/classification/imagenet/README.md:52: possiblity ==> possibility
data/pytorch-ignite-0.4.2/examples/references/classification/imagenet/code/scripts/training.py:272: Catched ==> Caught
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/README.md:32: privides ==> provides
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/README.md:57: possiblity ==> possibility
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/dataflow/vis.py:16: pallete ==> palette
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/dataflow/vis.py:19: pallete ==> palette
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/dataflow/vis.py:20: pallete ==> palette
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/dataflow/vis.py:21: pallete ==> palette
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/dataflow/vis.py:24: pallete ==> palette
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/dataflow/vis.py:25: pallete ==> palette
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/dataflow/vis.py:26: pallete ==> palette
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/dataflow/vis.py:29: pallete ==> palette
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/code/scripts/training.py:324: Catched ==> Caught
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:210: seH ==> she
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:210: ND ==> AND, 2ND
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:210: 3nd ==> 3rd
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:282: ned ==> need
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:282: BA ==> BY, BE
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:282: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:282: tEh ==> the
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:282: te ==> the, be, we
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:401: TE ==> THE, BE, WE
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:401: yuO ==> you
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:401: nD ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:401: ND ==> AND, 2ND
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:401: OT ==> TO, OF, OR
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:401: nD ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:413: uE ==> use, due
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:413: SXL ==> XSL
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:413: OT ==> TO, OF, OR
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:413: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:413: ND ==> AND, 2ND
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:413: Ot ==> To, of, or
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:413: ADn ==> and
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:425: nd ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:425: DeD ==> dead
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:425: uE ==> use, due
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:425: OT ==> TO, OF, OR
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:425: 2Rd ==> 2nd
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:468: bA ==> by, be
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:468: eDe ==> edge
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:468: eDn ==> end
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:468: Fo ==> Of, for
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:480: fO ==> of, for
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:480: fo ==> of, for
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:480: OT ==> TO, OF, OR
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:480: ned ==> need
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:480: nd ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:492: nD ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:492: IiF ==> if
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:492: uE ==> use, due
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:492: TE ==> THE, BE, WE
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:492: wll ==> will
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:535: tE ==> the, be, we
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:535: Dne ==> Done
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data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:535: oNS ==> owns
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:535: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:547: SOM ==> SOME
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:547: Te ==> The, be, we
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:559: fO ==> of, for
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:559: Ot ==> To, of, or
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:559: tE ==> the, be, we
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:559: nD ==> and, 2nd
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:559: tE ==> the, be, we
data/pytorch-ignite-0.4.2/examples/references/segmentation/pascal_voc2012/notebooks/check_dataflow.ipynb:559: ot ==> to, of, or
data/pytorch-ignite-0.4.2/ignite/_utils.py:3: compatibilty ==> compatibility
data/pytorch-ignite-0.4.2/ignite/contrib/engines/tbptt.py:10: Aditional ==> Additional
data/pytorch-ignite-0.4.2/ignite/contrib/engines/tbptt.py:12: throught ==> thought, through, throughout
data/pytorch-ignite-0.4.2/ignite/contrib/engines/tbptt.py:23: Auxillary ==> Auxiliary
data/pytorch-ignite-0.4.2/ignite/contrib/handlers/neptune_logger.py:579: wont ==> won't
data/pytorch-ignite-0.4.2/ignite/contrib/handlers/param_scheduler.py:559: synchonize ==> synchronize
data/pytorch-ignite-0.4.2/ignite/contrib/handlers/wandb_logger.py:98: seperate ==> separate
data/pytorch-ignite-0.4.2/ignite/contrib/handlers/wandb_logger.py:173: seperate ==> separate
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data/pytorch-ignite-0.4.2/ignite/handlers/checkpoint.py:447: Exemples ==> Examples
data/pytorch-ignite-0.4.2/ignite/handlers/checkpoint.py:528: doesnt ==> doesn't, does not
data/pytorch-ignite-0.4.2/ignite/metrics/accumulation.py:25: ND ==> AND, 2ND
data/pytorch-ignite-0.4.2/ignite/metrics/accumulation.py:92: ND ==> AND, 2ND
data/pytorch-ignite-0.4.2/ignite/metrics/accumulation.py:94: ND ==> AND, 2ND
data/pytorch-ignite-0.4.2/ignite/metrics/accumulation.py:148: ND ==> AND, 2ND
data/pytorch-ignite-0.4.2/ignite/metrics/accumulation.py:150: ND ==> AND, 2ND
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data/pytorch-ignite-0.4.2/ignite/metrics/ssim.py:14: Structual ==> Structural
data/pytorch-ignite-0.4.2/tests/ignite/contrib/engines/test_tbptt.py:113: Cheking ==> Checking
data/pytorch-ignite-0.4.2/tests/ignite/contrib/metrics/test_roc_curve.py:23: fpr ==> for, far, fps
data/pytorch-ignite-0.4.2/tests/ignite/contrib/metrics/test_roc_curve.py:25: fpr ==> for, far, fps
data/pytorch-ignite-0.4.2/tests/ignite/contrib/metrics/test_roc_curve.py:55: fpr ==> for, far, fps
data/pytorch-ignite-0.4.2/tests/ignite/contrib/metrics/test_roc_curve.py:57: fpr ==> for, far, fps
data/pytorch-ignite-0.4.2/tests/ignite/contrib/metrics/test_roc_curve.py:88: fpr ==> for, far, fps
data/pytorch-ignite-0.4.2/tests/ignite/contrib/metrics/test_roc_curve.py:90: fpr ==> for, far, fps
data/pytorch-ignite-0.4.2/tests/ignite/engine/test_event_handlers.py:165: Removeable ==> Removable
data/pytorch-ignite-0.4.2/tests/ignite/engine/test_event_handlers.py:177: Removeable ==> Removable
data/pytorch-ignite-0.4.2/tests/ignite/engine/test_event_handlers.py:189: Removeable ==> Removable
data/pytorch-ignite-0.4.2/tests/ignite/engine/test_event_handlers.py:256: Removeable ==> Removable
data/pytorch-ignite-0.4.2/tests/ignite/engine/test_event_handlers.py:276: Removeable ==> Removable
data/pytorch-ignite-0.4.2/tests/ignite/engine/test_event_handlers.py:291: Removeable ==> Removable
data/pytorch-ignite-0.4.2/tests/ignite/handlers/test_checkpoint.py:726: futher ==> further