Pipenv: Can't install from URL with percent-encoding
Issue description
Can't install a wheel file from URL with percent-encoding.
Notice that i provided a percent-encoded URL to pipenv but the error message has the + sign instead.
-https://download.pytorch.org/whl/cpu/torch-1.3.1%2Bcpu-cp37-cp37m-win_amd64.whl
+https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl
Trying to open the unencoded URL results in:
<Error>
<Code>AccessDenied</Code>
<Message>Access Denied</Message>
<RequestId>45E2DA9634D86ABD</RequestId>
<HostId>
Gtn6xtNFANbpJvKigXy/RWapAapFN5Jz9kqLSMN2elzv7GZ6SBosf4AZOkCh4edt/H81y0tpV40=
</HostId>
</Error>
Actual result
> pipenv install https://download.pytorch.org/whl/cpu/torch-1.3.1%2Bcpu-cp37-cp37m-win_amd64.whl
Installing https://download.pytorch.org/whl/cpu/torch-1.3.1%2Bcpu-cp37-cp37m-win_amd64.whlā¦
Adding torch to Pipfile's [packages]ā¦
Installation Succeeded
Pipfile.lock (d17f68) out of date, updating to (77fec3)ā¦
Locking [dev-packages] dependenciesā¦
Success!
Locking [packages] dependenciesā¦
Locking Failed!
CRITICAL:pipenv.patched.notpip._internal.download:HTTP error 403 while getting https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl#egg=torch
CRITICAL:pipenv.patched.notpip._internal.operations.prepare:Could not install requirement torch==1.3.1+cpu from https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl#egg=torch because of error 403 Client Error: Forbidden for url: https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl
Traceback (most recent call last):
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\operations\prepare.py", line 279, in prepare_linked_requirement
progress_bar=self.progress_bar
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\download.py", line 837, in unpack_url
progress_bar=progress_bar
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\download.py", line 674, in unpack_http_url
progress_bar)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\download.py", line 871, in _download_http_url
resp.raise_for_status()
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_vendor\requests\models.py", line 939, in raise_for_status
raise HTTPError(http_error_msg, response=self)
pipenv.patched.notpip._vendor.requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:/Users/vince/AppData/Roaming/Python/Python38/site-packages/pipenv/resolver.py", line 126, in <module>
main()
File "C:/Users/vince/AppData/Roaming/Python/Python38/site-packages/pipenv/resolver.py", line 119, in main
parsed.requirements_dir, parsed.packages)
File "C:/Users/vince/AppData/Roaming/Python/Python38/site-packages/pipenv/resolver.py", line 85, in _main
requirements_dir=requirements_dir,
File "C:/Users/vince/AppData/Roaming/Python/Python38/site-packages/pipenv/resolver.py", line 69, in resolve
req_dir=requirements_dir
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\utils.py", line 726, in resolve_deps
req_dir=req_dir,
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\utils.py", line 480, in actually_resolve_deps
resolved_tree = resolver.resolve()
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\utils.py", line 385, in resolve
results = self.resolver.resolve(max_rounds=environments.PIPENV_MAX_ROUNDS)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\resolver.py", line 102, in resolve
has_changed, best_matches = self._resolve_one_round()
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\resolver.py", line 206, in _resolve_one_round
for dep in self._iter_dependencies(best_match):
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\resolver.py", line 301, in _iter_dependencies
dependencies = self.repository.get_dependencies(ireq)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\repositories\pypi.py", line 234, in get_dependencies
legacy_results = self.get_legacy_dependencies(ireq)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\repositories\pypi.py", line 426, in get_legacy_dependencies
results, ireq = self.resolve_reqs(download_dir, ireq, wheel_cache)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\repositories\pypi.py", line 297, in resolve_reqs
results = resolver._resolve_one(reqset, ireq)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\resolve.py", line 260, in _resolve_one
abstract_dist = self._get_abstract_dist_for(req_to_install)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\resolve.py", line 213, in _get_abstract_dist_for
self.require_hashes
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\operations\prepare.py", line 290, in prepare_linked_requirement
(req, exc, req.link)
pipenv.patched.notpip._internal.exceptions.InstallationError: Could not install requirement torch==1.3.1+cpu from https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl#egg=torch because of HTTP error 403 Client Error: Forbidden for url: https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl for URL https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl#egg=torch
CRITICAL:pipenv.patched.notpip._internal.operations.prepare:Could not install requirement torch==1.3.1+cpu from https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl#egg=torch because of error 403 Client Error: Forbidden for url: https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl
Traceback (most recent call last):
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\operations\prepare.py", line 279, in prepare_linked_requirement
progress_bar=self.progress_bar
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\download.py", line 837, in unpack_url
progress_bar=progress_bar
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\download.py", line 674, in unpack_http_url
progress_bar)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\download.py", line 871, in _download_http_url
resp.raise_for_status()
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_vendor\requests\models.py", line 939, in raise_for_status
raise HTTPError(http_error_msg, response=self)
pipenv.patched.notpip._vendor.requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:/Users/vince/AppData/Roaming/Python/Python38/site-packages/pipenv/resolver.py", line 126, in <module>
main()
File "C:/Users/vince/AppData/Roaming/Python/Python38/site-packages/pipenv/resolver.py", line 119, in main
parsed.requirements_dir, parsed.packages)
File "C:/Users/vince/AppData/Roaming/Python/Python38/site-packages/pipenv/resolver.py", line 85, in _main
requirements_dir=requirements_dir,
File "C:/Users/vince/AppData/Roaming/Python/Python38/site-packages/pipenv/resolver.py", line 69, in resolve
req_dir=requirements_dir
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\utils.py", line 726, in resolve_deps
req_dir=req_dir,
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\utils.py", line 480, in actually_resolve_deps
resolved_tree = resolver.resolve()
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\utils.py", line 385, in resolve
results = self.resolver.resolve(max_rounds=environments.PIPENV_MAX_ROUNDS)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\resolver.py", line 102, in resolve
has_changed, best_matches = self._resolve_one_round()
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\resolver.py", line 206, in _resolve_one_round
for dep in self._iter_dependencies(best_match):
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\resolver.py", line 301, in _iter_dependencies
dependencies = self.repository.get_dependencies(ireq)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\repositories\pypi.py", line 234, in get_dependencies
legacy_results = self.get_legacy_dependencies(ireq)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\repositories\pypi.py", line 426, in get_legacy_dependencies
results, ireq = self.resolve_reqs(download_dir, ireq, wheel_cache)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\piptools\repositories\pypi.py", line 297, in resolve_reqs
results = resolver._resolve_one(reqset, ireq)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\resolve.py", line 260, in _resolve_one
abstract_dist = self._get_abstract_dist_for(req_to_install)
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\resolve.py", line 213, in _get_abstract_dist_for
self.require_hashes
File "C:\Users\vince\AppData\Roaming\Python\Python38\site-packages\pipenv\patched\notpip\_internal\operations\prepare.py", line 290, in prepare_linked_requirement
(req, exc, req.link)
pipenv.patched.notpip._internal.exceptions.InstallationError: Could not install requirement torch==1.3.1+cpu from https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl#egg=torch because of HTTP error 403 Client Error: Forbidden for url: https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl for URL https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl#egg=torch
Steps to replicate
pipenv install https://download.pytorch.org/whl/cpu/torch-1.3.1%2Bcpu-cp37-cp37m-win_amd64.whl
$ pipenv --support
Pipenv version: '2018.11.26'
Pipenv location: 'C:\\Users\\vince\\AppData\\Roaming\\Python\\Python38\\site-packages\\pipenv'
Python location: 'c:\\users\\vince\\scoop\\apps\\python\\current\\python.exe'
Python installations found:
3.7.6:C:\Users\vince\scoop\apps\python37\3.7.6\python.exe
PEP 508 Information:
{'implementation_name': 'cpython',
'implementation_version': '3.8.1',
'os_name': 'nt',
'platform_machine': 'AMD64',
'platform_python_implementation': 'CPython',
'platform_release': '10',
'platform_system': 'Windows',
'platform_version': '10.0.18362',
'python_full_version': '3.8.1',
'python_version': '3.8',
'sys_platform': 'win32'}
System environment variables:
ALLUSERSPROFILEANDROID_SDK_HOMEAPPDATACOLUMNSCOMMONPROGRAMFILESCOMMONPROGRAMFILES(X86)COMMONPROGRAMW6432COMPUTERNAMECOMSPECDRIVERDATAFPS_BROWSER_APP_PROFILE_STRINGFPS_BROWSER_USER_PROFILE_STRINGGIT_INSTALL_ROOTHOMEHOMEDRIVEHOMEPATHINTEL_DEV_REDISTJAVA_HOMEJD2_HOMELOCALAPPDATALOGONSERVERMIC_LD_LIBRARY_PATHNUMBER_OF_PROCESSORSONEDRIVEOSPATHPATHEXTPROCESSOR_ARCHITECTUREPROCESSOR_IDENTIFIERPROCESSOR_LEVELPROCESSOR_REVISIONPROGRAMDATAPROGRAMFILESPROGRAMFILES(X86)PROGRAMW6432PSMODULEPATHPUBLICSESSIONNAMESYSTEMDRIVESYSTEMROOTTEMPTMPUSERDOMAINUSERDOMAIN_ROAMINGPROFILEUSERNAMEUSERPROFILEVBOX_MSI_INSTALL_PATHWINDIRTERM_PROGRAMTERM_PROGRAM_VERSIONLANGCOLORTERMPIP_DISABLE_PIP_VERSION_CHECKPYTHONDONTWRITEBYTECODEPIP_SHIMS_BASE_MODULEPIP_PYTHON_PATHPYTHONFINDER_IGNORE_UNSUPPORTED
Pipenv?specific environment variables:
Debug?specific environment variables:
PATH:C:\Program Files (x86)\Common Files\Intel\Shared Libraries\redist\intel64\compiler;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\Windows\System32;C:\Windows;C:\Windows\System32\wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\OpenSSH\;C:\Program Files (x86)\GnuPG\bin;C:\Android;C:\Users\vince\scoop\apps\openjdk\current\bin;C:\Users\vince\scoop\apps\python\current;C:\Users\vince\scoop\apps\python\current\Scripts;C:\Users\vince\scoop\apps\python37\current\scripts;C:\Users\vince\scoop\apps\nodejs\current\bin;C:\Users\vince\scoop\apps\nodejs\current;C:\Users\vince\scoop\shims;C:\Users\vince\AppData\Local\Microsoft\WindowsApps;C:\Users\vince\AppData\Local\hyper\app-2.1.2\resources\bin;C:\Users\vince\AppData\Local\Programs\Python\Launcher\;C:\Users\vince\AppData\Roaming\Python\Python38\Scripts;C:\Users\vince\AppData\Roaming\Python\Python37\Scripts;LANG:en_US.UTF-8
Contents of Pipfile ('D:\Users\vince\Studium\ki-wireframe-html-generator\Pipfile'):
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true
[dev-packages]
flake8 = "*"
pylint = "*"
rope = "*"
bandit = "*"
black = "*"
[packages]
opencv-python = "*"
imutils = "*"
fastai = "*"
torch = {file = "https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl"}
[requires]
python_version = "3.7"
[pipenv]
allow_prereleases = true
Contents of Pipfile.lock ('D:\Users\vince\Studium\ki-wireframe-html-generator\Pipfile.lock'):
{
"_meta": {
"hash": {
"sha256": "8b1bb1284027fbff9493c209237c19de7bf4e232ac57a87ee28cfa3d9d77fec3"
},
"pipfile-spec": 6,
"requires": {
"python_version": "3.7"
},
"sources": [
{
"name": "pypi",
"url": "https://pypi.org/simple",
"verify_ssl": true
}
]
},
"default": {
"beautifulsoup4": {
"hashes": [
"sha256:05fd825eb01c290877657a56df4c6e4c311b3965bda790c613a3d6fb01a5462a",
"sha256:9fbb4d6e48ecd30bcacc5b63b94088192dcda178513b2ae3c394229f8911b887",
"sha256:e1505eeed31b0f4ce2dbb3bc8eb256c04cc2b3b72af7d551a4ab6efd5cbe5dae"
],
"version": "==4.8.2"
},
"blis": {
"hashes": [
"sha256:00473602629ba69fe6565108e21957e918cb48b59f5bf2f6bfb6e04de42500cb",
"sha256:03c368c9716ca814c436550a5f1e02ccf74850e613602519e3941d212e5aa177",
"sha256:135450caabc8aea9bb9250329ebdf7189982d9b57d5c92789b2ba2fe52c247a7",
"sha256:1402d9cbb0fbc21b749dd5b87d7ee14249e74a0ca38be6ecc56b3b356fca2f21",
"sha256:26b16d6005bb2671699831b5cc699905215d1abde1ec5c1d04de7dcd9eb29f75",
"sha256:3347a4b1b7d3ae14476aac9a6f7bf8ebf464863f4ebf4aea228874a7694ea240",
"sha256:38fe877a4b52e762f5e137a412e3c256545a696a12ae8c40d67b8815d2bb5097",
"sha256:4fb89c47ee06b58a4410a16fd5794847517262c9d2a342643475b477dfeff0a4",
"sha256:77a6486b9794af01bcdfd1bc6e067c93add4b93292e6f95bf6e5ce7f98bf0163",
"sha256:856142a11e37fd2c47c5006a3197e157bb8469a491a73d2d442223dd3279df84",
"sha256:8aeaf6954351593a1e412f80e398aa51df588d3c0de74b9f3323b694c603381b",
"sha256:9ede123065f3cacb109967755b3d83d4ca0de90643a9058129a6ab2d4051954f",
"sha256:d1d59faebc1c94f8f4f77154ef4b9d6d40364b111cf8fde48ee3b524c85f1075",
"sha256:d69257d317e86f34a7f230a2fd1f021fd2a1b944137f40d8cdbb23bd334cd0c4",
"sha256:ddd732c5274d1082fa92e2c42317587d5ebabce7741ca98120f69bd45d004b99",
"sha256:f0b0dad4d6268d9dba0a65a9db12dd7a2d8686b648399e4aa1aec7550697e99e"
],
"version": "==0.4.1"
},
"bottleneck": {
"hashes": [
"sha256:451586370462cb623d6ad604a545d1e97fb51d2ab5252b1ac57350a83e494a28"
],
"version": "==1.3.1"
},
"catalogue": {
"hashes": [
"sha256:430ff0e1478ef6d97f81a1bd093d8c4038f88af6d233a05a625f4d87ff030a7e",
"sha256:998329046e952f2e07d606b96e7b2505b40aca1962345398385863781449a69d"
],
"version": "==0.2.0"
},
"certifi": {
"hashes": [
"sha256:017c25db2a153ce562900032d5bc68e9f191e44e9a0f762f373977de9df1fbb3",
"sha256:25b64c7da4cd7479594d035c08c2d809eb4aab3a26e5a990ea98cc450c320f1f"
],
"version": "==2019.11.28"
},
"chardet": {
"hashes": [
"sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
"sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
],
"version": "==3.0.4"
},
"cycler": {
"hashes": [
"sha256:1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d",
"sha256:cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"
],
"version": "==0.10.0"
},
"cymem": {
"hashes": [
"sha256:5083b2ab5fe13ced094a82e0df465e2dbbd9b1c013288888035e24fd6eb4ed01",
"sha256:622c20a57701d02f01a47e856dea248e112638f28c8249dbe3ed95a9702e3d74",
"sha256:6f4cb689a9552e9e13dccc89203c8ab09f210a7ffb92ce27c384a4a0be27b527",
"sha256:719f04a11ca709fc2b47868070d79fccff77e5d502ff32de2f4baa73cb16166f",
"sha256:7236252bed70f37b898933dcf8aa875d0829664a245a272516f27b30439df71c",
"sha256:7f5ddceb12b73f7fd2e4398266401b6f887003740ccd18c989a2af04500b5f2b",
"sha256:85b9364e099426bd7f445a7705aad87bf6dbb71d79e3802dd8ca14e181d38a33",
"sha256:c288a1bbdf58c360457443e5297e74844e1961e5e7001dbcb3a5297a41911a11",
"sha256:cd21ec48ee70878d46c486e2f7ae94b32bfc6b37c4d27876c5a5a00c4eb75c3c",
"sha256:d7505c500d994f11662e5595f5002251f572acc189f18944619352e2636f5181",
"sha256:dd24848fbd75b17bab06408da6c029ba7cc615bd9e4a1f755fb3a090025fb922",
"sha256:f4f19af4bca81f11922508a9dcf30ce1d2aee4972af9f81ce8e5331a6f46f5e1"
],
"version": "==2.0.3"
},
"fastai": {
"hashes": [
"sha256:673fed1b2d9db2d97b1bb05057c5bc0ac95c412e9bbc6059d8b1a80bb0ad691f",
"sha256:ea4bc5841ba71462aee92cb5e3937c574bd3179cdd4d2b1a36767d01ecb426c1"
],
"index": "pypi",
"version": "==1.0.60"
},
"fastprogress": {
"hashes": [
"sha256:44c1905e13eef141b6bd3338d3d78ecbf714cf92c5b7704c20e31e52fd865569",
"sha256:a7837a3339ab49f95b86ba17a8d25b5ebbb6f4f796df7c5964844b74560f8984"
],
"version": "==0.2.2"
},
"future": {
"hashes": [
"sha256:b1bead90b70cf6ec3f0710ae53a525360fa360d306a86583adc6bf83a4db537d"
],
"version": "==0.18.2"
},
"idna": {
"hashes": [
"sha256:c357b3f628cf53ae2c4c05627ecc484553142ca23264e593d327bcde5e9c3407",
"sha256:ea8b7f6188e6fa117537c3df7da9fc686d485087abf6ac197f9c46432f7e4a3c"
],
"version": "==2.8"
},
"importlib-metadata": {
"hashes": [
"sha256:073a852570f92da5f744a3472af1b61e28e9f78ccf0c9117658dc32b15de7b45",
"sha256:d95141fbfa7ef2ec65cfd945e2af7e5a6ddbd7c8d9a25e66ff3be8e3daf9f60f"
],
"markers": "python_version < '3.8'",
"version": "==1.3.0"
},
"imutils": {
"hashes": [
"sha256:857af6169d90e4a0a814130b9b107f5d611150ce440107e1c1233521c6fb1e2b"
],
"index": "pypi",
"version": "==0.5.3"
},
"kiwisolver": {
"hashes": [
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"version": "==1.4.0"
},
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}
vincentmathis
👍10
All 12 comments
Same bug when I trying to inststall
https://download.pytorch.org/whl/cpu/torch-1.4.0%2Bcpu-cp38-cp38-win_amd64.whl
Kuluum
on 25 Jan 2020
Having this exact issue. Also jsut installing it using
pip install https://download.pytorch.org/whl/cpu/torch-1.4.0%2Bcpu-cp37-cp37m-linux_x86_64.whl works flawlessly.
So somehow pipenv is parsing the address or similar and changing it to https://download.pytorch.org/whl/cpu/torch-1.4.0+cpu-cp37-cp37m-linux_x86_64.whl (using the + sign instead of the url encoded path).
Unfortunately I'll have to revert to using a pure requirements.txt for this.
klintan
on 13 Feb 2020
The issue has to do something with the TOML decoding. If the URL is escaped twice (not just once), like this: https://download.pytorch.org/whl/cpu/torch-1.4.0%25252Bcpu-cp37-cp37m-linux_x86_64.whl the URL is correctly resolved.
However, it leads to another issue where the local version label is stripped from the package list and can't be resolved:
pipenv lock --clear
Locking [dev-packages] dependenciesā¦
ā Success!
Locking [packages] dependenciesā¦
ā Locking Failed!
[pipenv.exceptions.ResolutionFailure]: File "/var/lang/lib/python3.7/site-packages/pipenv/resolver.py", line 69, in resolve
[pipenv.exceptions.ResolutionFailure]: req_dir=requirements_dir
[pipenv.exceptions.ResolutionFailure]: File "/var/lang/lib/python3.7/site-packages/pipenv/utils.py", line 726, in resolve_deps
[pipenv.exceptions.ResolutionFailure]: req_dir=req_dir,
[pipenv.exceptions.ResolutionFailure]: File "/var/lang/lib/python3.7/site-packages/pipenv/utils.py", line 480, in actually_resolve_deps
[pipenv.exceptions.ResolutionFailure]: resolved_tree = resolver.resolve()
[pipenv.exceptions.ResolutionFailure]: File "/var/lang/lib/python3.7/site-packages/pipenv/utils.py", line 395, in resolve
[pipenv.exceptions.ResolutionFailure]: raise ResolutionFailure(message=str(e))
[pipenv.exceptions.ResolutionFailure]: pipenv.exceptions.ResolutionFailure: ERROR: ERROR: Could not find a version that matches torch==1.4.0+cpu,>=1 from https://download.pytorch.org/whl/cpu/torch-1.4.0%2Bcpu-cp37-cp37m-linux_x86_64.whl#egg=torch
[pipenv.exceptions.ResolutionFailure]: Tried: 0.1.2, 0.1.2.post1, 0.1.2.post2, 0.3.0.post4, 0.3.0.post4, 0.3.0.post4, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1.post2, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0.post2, 1.1.0.post2, 1.1.0.post2, 1.1.0.post2, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0.post2, 1.3.0.post2, 1.3.0.post2, 1.3.0.post2, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0
[pipenv.exceptions.ResolutionFailure]: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
First try clearing your dependency cache with $ pipenv lock --clear, then try the original command again.
Alternatively, you can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: ERROR: Could not find a version that matches torch==1.4.0+cpu,>=1 from https://download.pytorch.org/whl/cpu/torch-1.4.0%2Bcpu-cp37-cp37m-linux_x86_64.whl#egg=torch
Tried: 0.1.2, 0.1.2.post1, 0.1.2.post2, 0.3.0.post4, 0.3.0.post4, 0.3.0.post4, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1.post2, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0.post2, 1.1.0.post2, 1.1.0.post2, 1.1.0.post2, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0.post2, 1.3.0.post2, 1.3.0.post2, 1.3.0.post2, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0
There are incompatible versions in the resolved dependencies.
[pipenv.exceptions.ResolutionFailure]: req_dir=requirements_dir
[pipenv.exceptions.ResolutionFailure]: File "/var/lang/lib/python3.7/site-packages/pipenv/utils.py", line 726, in resolve_deps
[pipenv.exceptions.ResolutionFailure]: req_dir=req_dir,
[pipenv.exceptions.ResolutionFailure]: File "/var/lang/lib/python3.7/site-packages/pipenv/utils.py", line 480, in actually_resolve_deps
[pipenv.exceptions.ResolutionFailure]: resolved_tree = resolver.resolve()
[pipenv.exceptions.ResolutionFailure]: File "/var/lang/lib/python3.7/site-packages/pipenv/utils.py", line 395, in resolve
[pipenv.exceptions.ResolutionFailure]: raise ResolutionFailure(message=str(e))
[pipenv.exceptions.ResolutionFailure]: pipenv.exceptions.ResolutionFailure: ERROR: ERROR: Could not find a version that matches torch==1.4.0+cpu,>=1 from https://download.pytorch.org/whl/cpu/torch-1.4.0%2Bcpu-cp37-cp37m-linux_x86_64.whl#egg=torch
[pipenv.exceptions.ResolutionFailure]: Tried: 0.1.2, 0.1.2.post1, 0.1.2.post2, 0.3.0.post4, 0.3.0.post4, 0.3.0.post4, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1.post2, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0.post2, 1.1.0.post2, 1.1.0.post2, 1.1.0.post2, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0.post2, 1.3.0.post2, 1.3.0.post2, 1.3.0.post2, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0
[pipenv.exceptions.ResolutionFailure]: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
First try clearing your dependency cache with $ pipenv lock --clear, then try the original command again.
Alternatively, you can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: ERROR: Could not find a version that matches torch==1.4.0+cpu,>=1 from https://download.pytorch.org/whl/cpu/torch-1.4.0%2Bcpu-cp37-cp37m-linux_x86_64.whl#egg=torch
Tried: 0.1.2, 0.1.2.post1, 0.1.2.post2, 0.3.0.post4, 0.3.0.post4, 0.3.0.post4, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.3.1, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.0, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1, 0.4.1.post2, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.0, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.0.1.post2, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0, 1.1.0.post2, 1.1.0.post2, 1.1.0.post2, 1.1.0.post2, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.2.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0, 1.3.0.post2, 1.3.0.post2, 1.3.0.post2, 1.3.0.post2, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.3.1, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0, 1.4.0
There are incompatible versions in the resolved dependencies.
Note the number of 1.4.0 versions.
Relevant parts from pipenv --support:
Pipenv version: '2018.11.26'
Pipenv location: '/var/lang/lib/python3.7/site-packages/pipenv'
Python location: '/var/lang/bin/python3.7'
Python installations found:
3.7.5:/root/.local/share/virtualenvs/task-rlWbeMzF/bin/python3.7m3.7.5:/var/lang/bin/python3.7m3.7.5:/var/lang/bin/python3.73.6.8:/usr/bin/python3.63.6.8:/usr/bin/python3.6m2.7.16:/usr/bin/python2.7
PEP 508 Information:
{'implementation_name': 'cpython',
'implementation_version': '3.7.5',
'os_name': 'posix',
'platform_machine': 'x86_64',
'platform_python_implementation': 'CPython',
'platform_release': '4.9.184-linuxkit',
'platform_system': 'Linux',
'platform_version': '#1 SMP Tue Jul 2 22:58:16 UTC 2019',
'python_full_version': '3.7.5',
'python_version': '3.7',
'sys_platform': 'linux'}
System environment variables:
HOSTNAME_LAMBDA_CONTROL_SOCKETPIP_PYTHON_PATHTERMLD_LIBRARY_PATHLAMBDA_TASK_ROOT_LAMBDA_SHARED_MEM_FDAWS_EXECUTION_ENVVIRTUAL_ENV_LAMBDA_RUNTIME_LOAD_TIMEAWS_XRAY_DAEMON_ADDRESSPIPENV_ACTIVEPATH_LAMBDA_LOG_FDPWDLANGLAMBDA_RUNTIME_DIRTZPYTHONFINDER_IGNORE_UNSUPPORTEDPS1PYTHONDONTWRITEBYTECODEHOMESHLVL_AWS_XRAY_DAEMON_ADDRESS_AWS_XRAY_DAEMON_PORTPYTHONPATHPIP_DISABLE_PIP_VERSION_CHECK_X_AMZN_TRACE_ID_LAMBDA_SB_IDAWS_XRAY_CONTEXT_MISSINGPKG_CONFIG_PATH_LAMBDA_CONSOLE_SOCKET_PIP_SHIMS_BASE_MODULE
Pipenvāspecific environment variables:
PIPENV_ACTIVE:1
Debugāspecific environment variables:
PATH:/root/.local/share/virtualenvs/task-rlWbeMzF/bin:/root/.poetry/bin:/var/lang/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/binLANG:en_US.UTF-8PWD:/var/taskVIRTUAL_ENV:/root/.local/share/virtualenvs/task-rlWbeMzF
Contents of Pipfile ('/var/task/Pipfile'):
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true
[[source]]
name = "pytorch"
url = "https://download.pytorch.org/whl/torch_stable.html"
verify_ssl = false
[dev-packages]
boto3 = "*"
jupyter = "*"
pandas = "*"
scikit-learn = "*"
[packages]
cython = "*"
torch = {version="*", file = "https://download.pytorch.org/whl/cpu/torch-1.4.0%25252Bcpu-cp37-cp37m-linux_x86_64.whl"}
h5py = "*"
torchbiggraph = "*"
s3fs = "*"
[requires]
python_version = "3.7"
djlancelot
on 13 Feb 2020
👍5
Thanks for the detailed report, this is definitely reproducible.
techalchemy
on 20 May 2020
Same problem here (Python 3.8 64 Bit, Windows 10, pipenv 2020.6.2). For me pipenv install worked with torch = {file = "https://download.pytorch.org/whl/cpu/torch-1.5.1%252Bcpu-cp38-cp38-win_amd64.whl"} in the Pipfile.
stadlerb
on 24 Jun 2020
👍1
Same problem, @stadlerb's workaround succeeded for me. I had to edit the Pipfile directly to make it work though - no combination of CLI arguments succeeded.
danielpcox
on 14 Jul 2020
same issue, @stadlerb 's workaround helped me, thanks a lot.
rosrad
on 29 Jul 2020
It was fixed on the 2020.08.13 release
frostming
on 13 Aug 2020
@frostming It still does not work unfortunately.
Pipenv correctly writes the encoded URL (https://download.pytorch.org/whl/cpu/torch-1.3.1%2Bcpu-cp37-cp37m-win_amd64.whl) to the Pipfile, but when installing/locking, it requests the decoded URL (https://download.pytorch.org/whl/cpu/torch-1.3.1+cpu-cp37-cp37m-win_amd64.whl) instead, which is blocked by the web server.
The URL decoding when requesting the URL is also the reason, @stadlerb's workaround (double encoding) works.
heinrichreimer
on 15 Aug 2020
👍3
@frostming Confirming this being an unresolved issue in 2020.08.13.
mihajenko
on 2 Oct 2020
👍1
I too still see this issue in 2020.08.13, but @stadlerb's workaround still works. If you're trying to install a specific torch wheel, for example, the workaround is to manually edit your Pipfile, and if the URL you would expect to add is this:
torch = {file = "https://download.pytorch.org/whl/cpu/torch-1.7.0%2Bcpu-cp38-cp38-linux_x86_64.whl"}
then you add a 25 just after the % like so:
torch = {file = "https://download.pytorch.org/whl/cpu/torch-1.7.0%252Bcpu-cp38-cp38-linux_x86_64.whl"}
Kindly reminder that with the fix linked above which will be released in the next few days, the workaround approach will become invalid and should be reverted.
frostming
on 4 Nov 2020
👍1
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Most helpful comment
The issue has to do something with the TOML decoding. If the URL is escaped twice (not just once), like this:
https://download.pytorch.org/whl/cpu/torch-1.4.0%25252Bcpu-cp37-cp37m-linux_x86_64.whlthe URL is correctly resolved.However, it leads to another issue where the local version label is stripped from the package list and can't be resolved:
Note the number of 1.4.0 versions.
Relevant parts from pipenv --support:
Pipenv version:
'2018.11.26'Pipenv location:
'/var/lang/lib/python3.7/site-packages/pipenv'Python location:
'/var/lang/bin/python3.7'Python installations found:
3.7.5:/root/.local/share/virtualenvs/task-rlWbeMzF/bin/python3.7m3.7.5:/var/lang/bin/python3.7m3.7.5:/var/lang/bin/python3.73.6.8:/usr/bin/python3.63.6.8:/usr/bin/python3.6m2.7.16:/usr/bin/python2.7PEP 508 Information:
System environment variables:
HOSTNAME_LAMBDA_CONTROL_SOCKETPIP_PYTHON_PATHTERMLD_LIBRARY_PATHLAMBDA_TASK_ROOT_LAMBDA_SHARED_MEM_FDAWS_EXECUTION_ENVVIRTUAL_ENV_LAMBDA_RUNTIME_LOAD_TIMEAWS_XRAY_DAEMON_ADDRESSPIPENV_ACTIVEPATH_LAMBDA_LOG_FDPWDLANGLAMBDA_RUNTIME_DIRTZPYTHONFINDER_IGNORE_UNSUPPORTEDPS1PYTHONDONTWRITEBYTECODEHOMESHLVL_AWS_XRAY_DAEMON_ADDRESS_AWS_XRAY_DAEMON_PORTPYTHONPATHPIP_DISABLE_PIP_VERSION_CHECK_X_AMZN_TRACE_ID_LAMBDA_SB_IDAWS_XRAY_CONTEXT_MISSINGPKG_CONFIG_PATH_LAMBDA_CONSOLE_SOCKET_PIP_SHIMS_BASE_MODULEPipenvāspecific environment variables:
PIPENV_ACTIVE:1Debugāspecific environment variables:
PATH:/root/.local/share/virtualenvs/task-rlWbeMzF/bin:/root/.poetry/bin:/var/lang/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/binLANG:en_US.UTF-8PWD:/var/taskVIRTUAL_ENV:/root/.local/share/virtualenvs/task-rlWbeMzFContents of
Pipfile('/var/task/Pipfile'):