Running pipenv install h5py==2.10.0 works, but running pipenv install (while having the package in the Pipfile) doesnt (both cases after locking fails)

drakorg commented 3 years ago

Be sure to check the existing issues (both open and closed!), and make sure you are running the latest version of Pipenv.

Check the diagnose documentation for common issues before posting! We may close your issue if it is very similar to one of them. Please be considerate, or be on your way.

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Issue description

Running pipenv install h5py==2.10.0 works, but running pipenv install (while having the package in the Pipfile) doesnt (both cases after locking fails)

Expected result

I would expect to have the same result in both cases. When running pipenv install h5py==2.10.0 from the command line it works (locking fails but it gets installed) But if hyp5 = "==2.10.0" is present in the Pipfile (still not honoured) a pip install won't install it.

I would expect both ways of trying to install the package to both fail or succeed, but with the same result in both cases.

Actual result

Case 1, specifying the package to install from command line (it works).

(nspi) drakorg@jp43:~/workspace/nspi$ pipenv install h5py==2.10.0
Installing h5py==2.10.0…
✔ Installation Succeeded
Pipfile.lock (07bb49) out of date, updating to (6d32e6)…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…
✘ Locking Failed!
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/resolver.py", line 69, in resolve
[pipenv.exceptions.ResolutionFailure]:       req_dir=requirements_dir
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/utils.py", line 726, in resolve_deps
[pipenv.exceptions.ResolutionFailure]:       req_dir=req_dir,
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/utils.py", line 480, in actually_resolve_deps
[pipenv.exceptions.ResolutionFailure]:       resolved_tree = resolver.resolve()
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/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 jetson-gpio
[pipenv.exceptions.ResolutionFailure]:       No versions found
[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 jetson-gpio
No versions found
Were https://pypi.org/simple or https://developer.download.nvidia.com/compute/redist/jp/v42 or https://developer.download.nvidia.com/compute/redist/jp/v43 or https://developer.download.nvidia.com/compute/redist/jp/v44 reachable?
[pipenv.exceptions.ResolutionFailure]:       req_dir=requirements_dir
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/utils.py", line 726, in resolve_deps
[pipenv.exceptions.ResolutionFailure]:       req_dir=req_dir,
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/utils.py", line 480, in actually_resolve_deps
[pipenv.exceptions.ResolutionFailure]:       resolved_tree = resolver.resolve()
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/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 jetson-gpio
[pipenv.exceptions.ResolutionFailure]:       No versions found
[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 jetson-gpio
No versions found
Were https://pypi.org/simple or https://developer.download.nvidia.com/compute/redist/jp/v42 or https://developer.download.nvidia.com/compute/redist/jp/v43 or https://developer.download.nvidia.com/compute/redist/jp/v44 reachable?

(nspi) drakorg@jp43:~/workspace/nspi$ python3
Python 3.6.9 (default, Nov  7 2019, 10:44:02)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import h5py
>>>

Case 2, getting the package from Pipfile (it doesnt work, h5py doesnt get installed).

(nspi) drakorg@jp43:~/workspace/nspi$ cat Pipfile | grep h5py
h5py = "==2.10.0"
(nspi) drakorg@jp43:~/workspace/nspi$ pipenv install
Pipfile.lock (07bb49) out of date, updating to (6d32e6)…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…
✘ Locking Failed!
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/resolver.py", line 69, in resolve
[pipenv.exceptions.ResolutionFailure]:       req_dir=requirements_dir
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/utils.py", line 726, in resolve_deps
[pipenv.exceptions.ResolutionFailure]:       req_dir=req_dir,
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/utils.py", line 480, in actually_resolve_deps
[pipenv.exceptions.ResolutionFailure]:       resolved_tree = resolver.resolve()
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/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 jetson-gpio
[pipenv.exceptions.ResolutionFailure]:       No versions found
[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 jetson-gpio
No versions found
Were https://pypi.org/simple or https://developer.download.nvidia.com/compute/redist/jp/v42 or https://developer.download.nvidia.com/compute/redist/jp/v43 or https://developer.download.nvidia.com/compute/redist/jp/v44 reachable?
[pipenv.exceptions.ResolutionFailure]:       req_dir=requirements_dir
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/utils.py", line 726, in resolve_deps
[pipenv.exceptions.ResolutionFailure]:       req_dir=req_dir,
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/site-packages/pipenv/utils.py", line 480, in actually_resolve_deps
[pipenv.exceptions.ResolutionFailure]:       resolved_tree = resolver.resolve()
[pipenv.exceptions.ResolutionFailure]:   File "/home/drakorg/.local/lib/python3.6/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 jetson-gpio
[pipenv.exceptions.ResolutionFailure]:       No versions found
[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 jetson-gpio
No versions found
Were https://pypi.org/simple or https://developer.download.nvidia.com/compute/redist/jp/v42 or https://developer.download.nvidia.com/compute/redist/jp/v43 or https://developer.download.nvidia.com/compute/redist/jp/v44 reachable?
(nspi) drakorg@jp43:~/workspace/nspi$ python3
Python 3.6.9 (default, Nov  7 2019, 10:44:02)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import h5py
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'h5py'
>>>
(nspi) drakorg@jp43:~/workspace/nspi$

Steps to replicate

Full Pipfile:

(nspi) drakorg@jp43:~/workspace/nspi$ cat Pipfile
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true

[[source]]
name = "nvidia42"
url = "https://developer.download.nvidia.com/compute/redist/jp/v42"
verify_ssl = true

[[source]]
name = "nvidia43"
url = "https://developer.download.nvidia.com/compute/redist/jp/v43"
verify_ssl = true

[[source]]
name = "nvidia44"
url = "https://developer.download.nvidia.com/compute/redist/jp/v44"
verify_ssl = true

[dev-packages]

[packages]
h5py = "==2.10.0"
cython = "*"
flask = "*"
flask-restful = "*"
py-dmidecode = "==0.0.2"
kivy = "*"
pyopenssl = "*"
netifaces = "*"
buildozer = "*"
kivy-garden = "*"
wifi = "*"
pyinstaller = "*"
pillow = "*"
sqlalchemy = "*"
flask-sqlalchemy = "*"
flask-migrate = "*"
flask-marshmallow = "*"
marshmallow-sqlalchemy = "*"
flask-script = "*"
imageai = "*"
keras = "*"
face-recognition = "*"
dlib = "*"
pyzbar = "*"
scipy = "*"
#jetson-stats = "*"
#tensorflow_gpu = {version = "==1.13.1+nv19.5",index = "nvidia43"}
tensorflow_gpu = {version = "==1.15.0+nv20.1",index = "nvidia43"}
numpy = "*"
grpcio = "*"
absl-py = "*"
py-cpuinfo = "*"
psutil = "*"
portpicker = "*"
six = "*"
mock = "*"
requests = "*"
gast = "*"
astor = "*"
termcolor = "*"
cryptography = "*"
python-escpos = "*"
imutils = "*"
jetson-gpio = "*"

[requires]
python_version = "3.6"
(nspi) drakorg@jp43:~/workspace/nspi$

Please run $ pipenv --support, and paste the results here. Don't put backticks (`) around it! The output already contains Markdown formatting.

If you're on macOS, run the following:

$ pipenv --support | pbcopy

If you're on Windows, run the following:

> pipenv --support | clip

If you're on Linux, run the following:

$ pipenv --support | xclip

$ pipenv --support

Pipenv version: `'2018.11.26'` Pipenv location: `'/home/drakorg/.local/lib/python3.6/site-packages/pipenv'` Python location: `'/usr/bin/python3'` Python installations found: - `3.6.9`: `/home/drakorg/.local/share/virtualenvs/nspi-ClYdI6po/bin/python3.6` - `3.6.9`: `/usr/bin/python3.6m` - `2.7.17`: `/usr/bin/python2.7` PEP 508 Information: ``` {'implementation_name': 'cpython', 'implementation_version': '3.6.9', 'os_name': 'posix', 'platform_machine': 'aarch64', 'platform_python_implementation': 'CPython', 'platform_release': '4.9.140-tegra', 'platform_system': 'Linux', 'platform_version': '#1 SMP PREEMPT Mon Dec 9 22:47:42 PST 2019', 'python_full_version': '3.6.9', 'python_version': '3.6', 'sys_platform': 'linux'} ``` System environment variables: - `LS_COLORS` - `LC_MEASUREMENT` - `JETSON_TYPE` - `SSH_CONNECTION` - `LESSCLOSE` - `LC_PAPER` - `LC_MONETARY` - `JETSON_BOARDIDS` - `LANG` - `JETSON_CUDA_ARCH_BIN` - `PIPENV_INSTALL_TIMEOUT` - `USE_SDL2` - `OLDPWD` - `USE_X11` - `JETSON_CHIP_ID` - `JETSON_OPENCV` - `VIRTUAL_ENV` - `JETSON_L4T_RELEASE` - `JETSON_L4T` - `JETSON_VISIONWORKS` - `LC_NAME` - `XDG_SESSION_ID` - `USER` - `JETSON_OPENCV_CUDA` - `PIP_PYTHON_PATH` - `PWD` - `HOME` - `JETSON_SOC` - `SSH_CLIENT` - `JETSON_MACHINE` - `XDG_DATA_DIRS` - `JETSON_JETPACK` - `PIPENV_ACTIVE` - `JETSON_CODENAME` - `LC_ADDRESS` - `LC_NUMERIC` - `SSH_TTY` - `JETSON_CUDA` - `MAIL` - `SHELL` - `TERM` - `JETSON_L4T_REVISION` - `JETSON_SERIAL_NUMBER` - `PYTHONDONTWRITEBYTECODE` - `SHLVL` - `PYTHONPATH` - `JETSON_BOARD` - `LC_TELEPHONE` - `LOGNAME` - `PIP_DISABLE_PIP_VERSION_CHECK` - `DBUS_SESSION_BUS_ADDRESS` - `XDG_RUNTIME_DIR` - `PATH` - `LC_IDENTIFICATION` - `PS1` - `JETSON_TENSORRT` - `JETSON_CUDNN` - `LESSOPEN` - `LC_TIME` - `_` - `PIP_SHIMS_BASE_MODULE` - `PYTHONFINDER_IGNORE_UNSUPPORTED` Pipenvâ€“specific environment variables: - `PIPENV_INSTALL_TIMEOUT`: `1800` - `PIPENV_ACTIVE`: `1` Debugâ€“specific environment variables: - `PATH`: `/home/drakorg/.local/share/virtualenvs/nspi-ClYdI6po/bin:/home/drakorg/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin` - `SHELL`: `/bin/bash` - `LANG`: `en_US.UTF-8` - `PWD`: `/home/drakorg/workspace/nspi` - `VIRTUAL_ENV`: `/home/drakorg/.local/share/virtualenvs/nspi-ClYdI6po` --------------------------- Contents of `Pipfile` ('/home/drakorg/workspace/nspi/Pipfile'): ```toml [[source]] name = "pypi" url = "https://pypi.org/simple" verify_ssl = true [[source]] name = "nvidia42" url = "https://developer.download.nvidia.com/compute/redist/jp/v42" verify_ssl = true [[source]] name = "nvidia43" url = "https://developer.download.nvidia.com/compute/redist/jp/v43" verify_ssl = true [[source]] name = "nvidia44" url = "https://developer.download.nvidia.com/compute/redist/jp/v44" verify_ssl = true [dev-packages] [packages] h5py = "==2.10.0" cython = "*" flask = "*" flask-restful = "*" py-dmidecode = "==0.0.2" kivy = "*" pyopenssl = "*" netifaces = "*" buildozer = "*" kivy-garden = "*" wifi = "*" pyinstaller = "*" pillow = "*" sqlalchemy = "*" flask-sqlalchemy = "*" flask-migrate = "*" flask-marshmallow = "*" marshmallow-sqlalchemy = "*" flask-script = "*" imageai = "*" keras = "*" face-recognition = "*" dlib = "*" pyzbar = "*" scipy = "*" #jetson-stats = "*" #tensorflow_gpu = {version = "==1.13.1+nv19.5",index = "nvidia43"} tensorflow_gpu = {version = "==1.15.0+nv20.1",index = "nvidia43"} numpy = "*" grpcio = "*" absl-py = "*" py-cpuinfo = "*" psutil = "*" portpicker = "*" six = "*" mock = "*" requests = "*" gast = "*" astor = "*" termcolor = "*" cryptography = "*" python-escpos = "*" imutils = "*" jetson-gpio = "*" [requires] python_version = "3.6" ``` Contents of `Pipfile.lock` ('/home/drakorg/workspace/nspi/Pipfile.lock'): ```json { "_meta": { "hash": { "sha256": "b750a2d1c82740b228ad329496d1f4a92ee3c451a8b99c124a724c93336d32e6" }, "pipfile-spec": 6, "requires": { "python_version": "3.6" }, "sources": [ { "name": "pypi", "url": "https://pypi.org/simple", "verify_ssl": true }, { "name": "nvidia42", "url": "https://developer.download.nvidia.com/compute/redist/jp/v42", "verify_ssl": true }, { "name": "nvidia43", "url": "https://developer.download.nvidia.com/compute/redist/jp/v43", "verify_ssl": true }, { "name": "nvidia44", "url": "https://developer.download.nvidia.com/compute/redist/jp/v44", "verify_ssl": true } ] }, "default": { "absl-py": { "hashes": [ "sha256:673cccb88d810e5627d0c1c818158485d106f65a583880e2f730c997399bcfa7", "sha256:b3d9eb5119ff6e0a0125f6dabf2f9fae02f8acae7be70576002fac27235611c5" ], "index": "pypi", "version": "==0.11.0" }, "alembic": { "hashes": [ "sha256:4e02ed2aa796bd179965041afa092c55b51fb077de19d61835673cc80672c01c", "sha256:5334f32314fb2a56d86b4c4dd1ae34b08c03cae4cb888bc699942104d66bc245" ], "version": "==1.4.3" }, "altgraph": { "hashes": [ "sha256:1f05a47122542f97028caf78775a095fbe6a2699b5089de8477eb583167d69aa", "sha256:c623e5f3408ca61d4016f23a681b9adb100802ca3e3da5e718915a9e4052cebe" ], "version": "==0.17" }, "aniso8601": { "hashes": [ "sha256:529dcb1f5f26ee0df6c0a1ee84b7b27197c3c50fc3a6321d66c544689237d072", "sha256:c033f63d028b9a58e3ab0c2c7d0532ab4bfa7452bfc788fbfe3ddabd327b181a" ], "version": "==8.0.0" }, "appdirs": { "hashes": [ "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41", "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128" ], "version": "==1.4.4" }, "argcomplete": { "hashes": [ "sha256:5cd1ac4fc49c29d6016fc2cc4b19a3c08c3624544503495bf25989834c443898", "sha256:849c2444c35bb2175aea74100ca5f644c29bf716429399c0f2203bb5d9a8e4e6" ], "version": "==1.12.1" }, "argparse": { "hashes": [ "sha256:62b089a55be1d8949cd2bc7e0df0bddb9e028faefc8c32038cc84862aefdd6e4", "sha256:c31647edb69fd3d465a847ea3157d37bed1f95f19760b11a47aa91c04b666314" ], "version": "==1.4.0" }, "astor": { "hashes": [ "sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5", "sha256:6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e" ], "index": "pypi", "version": "==0.8.1" }, "buildozer": { "hashes": [ "sha256:39c9511fa5313c2aa5df6f0761ac568a7fd6773ebf81ee14a16ab5fea6f27fe4", "sha256:dd73cb9ade229b99d555c54cea82c4ea7969061b585c1bb07bc76619df53f6c9" ], "index": "pypi", "version": "==1.2.0" }, "cached-property": { "hashes": [ "sha256:9fa5755838eecbb2d234c3aa390bd80fbd3ac6b6869109bfc1b499f7bd89a130", "sha256:df4f613cf7ad9a588cc381aaf4a512d26265ecebd5eb9e1ba12f1319eb85a6a0" ], "version": "==1.5.2" }, "certifi": { "hashes": [ "sha256:5930595817496dd21bb8dc35dad090f1c2cd0adfaf21204bf6732ca5d8ee34d3", "sha256:8fc0819f1f30ba15bdb34cceffb9ef04d99f420f68eb75d901e9560b8749fc41" ], "version": "==2020.6.20" }, "cffi": { "hashes": [ "sha256:005f2bfe11b6745d726dbb07ace4d53f057de66e336ff92d61b8c7e9c8f4777d", "sha256:09e96138280241bd355cd585148dec04dbbedb4f46128f340d696eaafc82dd7b", 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jo3p commented 3 years ago

I have the same problem with another package. Did you mange to solve the issue?

drakorg commented 3 years ago

I've found a workaround, that is to install it via commandline ... that way at least I can move on with other things. But I don't understand the reason for pipenv having a different behaviour depending on whether you install it one way or the other.

franzhaas commented 3 years ago

Hi,

I suspect this is because the dependancy resolution of pipenv. Pipenvs dependancy resolution doesnt always find a solution if there is one.

What i am doing to avoid this is #4777. Maybe you want to have a look.

Best regards, Franz