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Bump idna from 3.4 to 3.7 in /src/waymo_open_dataset #818

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Bump idna from 3.4 to 3.7 in /src/waymo_open_dataset #818

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50 changes: 25 additions & 25 deletions src/waymo_open_dataset/requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ absl-py==1.4.0 \
--hash=sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47 \
--hash=sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# etils
# tensorboard
# tensorflow
Expand All @@ -23,7 +23,7 @@ astunparse==1.6.3 \
auditwheel==5.3.0 \
--hash=sha256:1da1af54de5badd10149250c257a799be003fd976794716f17914e3d4b4a9fc9 \
--hash=sha256:d0be87b5b6fb767eacf1ea4afa3292574cb0f4473a3c0ba55bc9dff1d0b5a333
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
cachetools==5.3.0 \
--hash=sha256:13dfddc7b8df938c21a940dfa6557ce6e94a2f1cdfa58eb90c805721d58f2c14 \
--hash=sha256:429e1a1e845c008ea6c85aa35d4b98b65d6a9763eeef3e37e92728a12d1de9d4
Expand Down Expand Up @@ -184,11 +184,11 @@ cycler==0.11.0 \
# via matplotlib
dacite==1.8.1 \
--hash=sha256:cc31ad6fdea1f49962ea42db9421772afe01ac5442380d9a99fcf3d188c61afe
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
dask[dataframe]==2023.3.1 \
--hash=sha256:4a83c05760aedb7deeee8c16d24479292635a1ded6c3f803bf6c3d94ec9e7d20 \
--hash=sha256:62d334012d7cd814186931ea83ebf1a6231c2af4260ad204dc78080a55947c17
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
dataclass-array==1.4.1 \
--hash=sha256:06400440f5a903f26946952279a10014dfe2eceea8d7149940a363ec4c824d9a \
--hash=sha256:b9e654dfb2bd2dc6412bd5b7c66ed3c04fb3e13821fc40a61188128801f00919
Expand Down Expand Up @@ -249,7 +249,7 @@ einops==0.6.1 \
einsum==0.3.0 \
--hash=sha256:6d2b1f7932879d630969bfb599e09f8448dcbc38a2be6cee192b8a1ae02c52dc \
--hash=sha256:e19db2c02ad5ea8acf2926a9eab995ec1802a9db0bb39646d71e96f7cec14e31
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
etils[array-types,edc,enp,epath,epy,etqdm,etree]==1.1.0 \
--hash=sha256:7a2a4950779a281ef4c7e595ae215990b15c1d8c6f8b0a27850092af5ad2c641 \
--hash=sha256:b994873778574aa803ffe6e84aaa2a3880f44f776a2bd542a28c62bf4ffa0db5
Expand Down Expand Up @@ -279,7 +279,7 @@ google-auth==2.16.2 \
--hash=sha256:07e14f34ec288e3f33e00e2e3cc40c8942aa5d4ceac06256a28cd8e786591420 \
--hash=sha256:2fef3cf94876d1a0e204afece58bb4d83fb57228aaa366c64045039fda6770a2
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# google-auth-oauthlib
# tensorboard
google-auth-oauthlib==1.0.0 \
Expand Down Expand Up @@ -373,9 +373,9 @@ h5py==3.8.0 \
# via
# tensorflow
# tensorflow-graphics
idna==3.4 \
--hash=sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4 \
--hash=sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2
idna==3.7 \
--hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \
--hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0
# via requests
imageio==2.26.0 \
--hash=sha256:169f1642cdb723133fe8fe901887f4f1b39bc036458c4664f1f9d256226ced35 \
Expand All @@ -384,7 +384,7 @@ imageio==2.26.0 \
immutabledict==2.2.0 \
--hash=sha256:1f95dc5595f4f857a447d9066f361d70200820cb4352a7ad4aaf48ecdc8836d4 \
--hash=sha256:ed65fc95ed84413ea3bd8dd94c3af6d5e4aed12089719e8e4d77394c5409cf00
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
importlib-resources==5.12.0 \
--hash=sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6 \
--hash=sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a
Expand Down Expand Up @@ -591,7 +591,7 @@ matplotlib==3.6.1 \
--hash=sha256:e632f66218811d4cf8b7a2a649e25ec15406c3c498f72d19e2bcf8377f38445d \
--hash=sha256:fad858519bd6d52dbfeebdbe04d00dd8e932ed436f1c535e61bcc970a96c11e4
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# tensorflow-graphics
ml-dtypes==0.3.2 \
--hash=sha256:2c34f2ba9660b21fe1034b608308a01be82bbef2a92fb8199f24dc6bad0d5226 \
Expand Down Expand Up @@ -642,7 +642,7 @@ numpy==1.23.0 \
--hash=sha256:fc431493df245f3c627c0c05c2bd134535e7929dbe2e602b80e42bf52ff760bc \
--hash=sha256:fe8b9683eb26d2c4d5db32cd29b38fdcf8381324ab48313b5b69088e0e355379
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# contourpy
# dask
# dataclass-array
Expand Down Expand Up @@ -703,7 +703,7 @@ openexr==1.3.9 \
--hash=sha256:eddef82e69e445619e8004b688bed049537723208ad84b5d252d44341e07d447 \
--hash=sha256:f30316e258058f4ae736dfed7baaaf3ca859a5482605d9cfe658acd64a19acbd
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# tensorflow-graphics
opt-einsum==3.3.0 \
--hash=sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147 \
Expand Down Expand Up @@ -749,7 +749,7 @@ pandas==1.5.3 \
--hash=sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae \
--hash=sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# dask
partd==1.3.0 \
--hash=sha256:6393a0c898a0ad945728e34e52de0df3ae295c5aff2e2926ba7cc3c60a734a15 \
Expand All @@ -763,7 +763,7 @@ patchelf==0.17.2.1 \
--hash=sha256:d1a9bc0d4fd80c038523ebdc451a1cce75237cfcc52dbd1aca224578001d5927 \
--hash=sha256:f47b5bdd6885cfb20abdd14c707d26eb6f499a7f52e911865548d4aa43385502 \
--hash=sha256:fc329da0e8f628bd836dfb8eaf523547e342351fa8f739bf2b3fe4a6db5a297c
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
pillow==9.2.0 \
--hash=sha256:0030fdbd926fb85844b8b92e2f9449ba89607231d3dd597a21ae72dc7fe26927 \
--hash=sha256:030e3460861488e249731c3e7ab59b07c7853838ff3b8e16aac9561bb345da14 \
Expand Down Expand Up @@ -824,14 +824,14 @@ pillow==9.2.0 \
--hash=sha256:fa768eff5f9f958270b081bb33581b4b569faabf8774726b283edb06617101dc \
--hash=sha256:fac2d65901fb0fdf20363fbd345c01958a742f2dc62a8dd4495af66e3ff502a4
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# imageio
# matplotlib
# scikit-image
plotly==5.13.1 \
--hash=sha256:90ee9a1fee0dda30e2830e129855081ea17bd1b06a553a62b62de15caff1a219 \
--hash=sha256:f776a5c664908450c6c1727f61e8e2e22798d9c6c69d37a9057735365084a2fa
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
promise==2.3 \
--hash=sha256:dfd18337c523ba4b6a58801c164c1904a9d4d1b1747c7d5dbf45b693a49d93d0
# via tensorflow-datasets
Expand Down Expand Up @@ -905,7 +905,7 @@ pyarrow==10.0.0 \
--hash=sha256:e4c6da9f9e1ff96781ee1478f7cc0860e66c23584887b8e297c4b9905c3c9066 \
--hash=sha256:f329951d56b3b943c353f7b27c894e02367a7efbb9fef7979c6b24e02dbfcf55 \
--hash=sha256:f76157d9579571c865860e5fd004537c03e21139db76692d96fd8a186adab1f2
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
pyasn1==0.4.8 \
--hash=sha256:39c7e2ec30515947ff4e87fb6f456dfc6e84857d34be479c9d4a4ba4bf46aa5d \
--hash=sha256:aef77c9fb94a3ac588e87841208bdec464471d9871bd5050a287cc9a475cd0ba
Expand Down Expand Up @@ -1040,7 +1040,7 @@ scikit-image==0.20.0 \
--hash=sha256:df14f8a55dae511749b081d9402ea215ea7c641bd6f74f06aa7b623e132817df \
--hash=sha256:f667dcf01737248bc5bd0a99fad58475abeb6b6a8229aecee9fdb96cf988ae85 \
--hash=sha256:fdd1fd258e78c86e382fd687177431088a40880bd785e0ab40ee5f3794366710
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
scikit-learn==1.2.2 \
--hash=sha256:065e9673e24e0dc5113e2dd2b4ca30c9d8aa2fa90f4c0597241c93b63130d233 \
--hash=sha256:2dd3ffd3950e3d6c0c0ef9033a9b9b32d910c61bd06cb8206303fb4514b88a49 \
Expand All @@ -1063,7 +1063,7 @@ scikit-learn==1.2.2 \
--hash=sha256:ea061bf0283bf9a9f36ea3c5d3231ba2176221bbd430abd2603b1c3b2ed85c89 \
--hash=sha256:fe0aa1a7029ed3e1dcbf4a5bc675aa3b1bc468d9012ecf6c6f081251ca47f590 \
--hash=sha256:fe175ee1dab589d2e1033657c5b6bec92a8a3b69103e3dd361b58014729975c3
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
scipy==1.10.1 \
--hash=sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415 \
--hash=sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f \
Expand Down Expand Up @@ -1132,7 +1132,7 @@ tensorflow==2.12.0 \
--hash=sha256:c8001210df7202ef6267150865b0b79f834c3ca69ee3132277de8eeb994dffde \
--hash=sha256:e29fcf6cfd069aefb4b44f357cccbb4415a5a3d7b5b516eaf4450062fe40021e
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# tensorflow-graphics
tensorflow-addons==0.19.0 \
--hash=sha256:06b673fe22c4113edabdc0dc1ef919ba0f1fb024ca39a5718ec146285c400e8f \
Expand Down Expand Up @@ -1161,7 +1161,7 @@ tensorflow-estimator==2.12.0 \
tensorflow-graphics==2021.12.3 \
--hash=sha256:622f6b6c9267da96a0dfabece3fb828aea8405e2004b9b0a6288242674706355 \
--hash=sha256:7b4c2e4515a76560b04c55596ffed0dce79e67d2202b997965d7ec16d75483b0
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
tensorflow-io-gcs-filesystem==0.31.0 \
--hash=sha256:20e3ee5df01f2bd81d37fc715816c329b7533ccca967c47946eb458a5b7a7280 \
--hash=sha256:359134ecbd3bf938bb0cf65be4526106c30da461b2e2ce05446a229ed35f6832 \
Expand All @@ -1188,7 +1188,7 @@ tensorflow-metadata==1.12.0 \
# via tensorflow-datasets
tensorflow-probability==0.19.0 \
--hash=sha256:ee70967fbd52b09e9c5ec148a9437c4cf3f9e9d689cdca400a1bc921f21cdcac
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
termcolor==2.2.0 \
--hash=sha256:91ddd848e7251200eac969846cbae2dacd7d71c2871e92733289e7e3666f48e7 \
--hash=sha256:dfc8ac3f350788f23b2947b3e6cfa5a53b630b612e6cd8965a015a776020b99a
Expand Down Expand Up @@ -1245,7 +1245,7 @@ urllib3==1.26.15 \
visu3d==1.5.1 \
--hash=sha256:5fb2c2dd5cc07fad27865ffb35f54ac8bff99894277217327c2bca7c96ca65cf \
--hash=sha256:76e5de14dd3170fb5bf75987b0eda6ba1689125ce06ef2169ffeb085264bed4c
# via -r waymo_open_dataset/requirements.in
# via -r requirements.in
werkzeug==2.2.3 \
--hash=sha256:2e1ccc9417d4da358b9de6f174e3ac094391ea1d4fbef2d667865d819dfd0afe \
--hash=sha256:56433961bc1f12533306c624f3be5e744389ac61d722175d543e1751285da612
Expand Down Expand Up @@ -1344,6 +1344,6 @@ setuptools==67.6.0 \
--hash=sha256:2ee892cd5f29f3373097f5a814697e397cf3ce313616df0af11231e2ad118077 \
--hash=sha256:b78aaa36f6b90a074c1fa651168723acbf45d14cb1196b6f02c0fd07f17623b2
# via
# -r waymo_open_dataset/requirements.in
# -r requirements.in
# tensorboard
# tensorflow