Pipenv: tensorflow/html5lib "Ihre Abhängigkeiten konnten nicht aufgelöst werden", kann aber das Problem nicht sehen

omg ist das echt

Um das Ganze abzurunden, haben diese verrückten Versionen Sicherheitslücken

$ pipenv check
Checking PEP 508 requirements…
Passed!
Checking installed package safety…
25846: html5lib <0.99999999 resolved (0.9999999 installed)!
html5lib before 0.99999999 is vulnerable to a XSS attack. Upgrading avoids the XSS bug potentially caused by serializer allowing attribute values to be escaped out of in old browser versions, changing the quote_attr_values option on serializer to take one of three values, "always" (the old True value), "legacy" (the new option,  and the new default), and "spec" (the old False value, and the old default).

35693: html5lib <0.99999999 resolved (0.9999999 installed)!
The serializer in html5lib before 0.99999999 might allow remote attackers to conduct cross-site scripting (XSS) attacks by leveraging mishandling of the < (less than) character in attribute values.

35694: html5lib <0.99999999 resolved (0.9999999 installed)!
The serializer in html5lib before 0.99999999 might allow remote attackers to conduct cross-site scripting (XSS) attacks by leveraging mishandling of special characters in attribute values, a different vulnerability than CVE-2016-9909.

34965: bleach <2.1 resolved (1.5.0 installed)!
bleach 2.1 converts control characters (backspace particularly) to "?" preventing malicious copy-and-paste situations.

Ich denke, der Problemteil ist:
Could not find a version that matches html5lib...==0.9999999,>=0.99999999pre

Ich sehe nicht, woher der Spezifizierer >=0.99999999pre kommt, er wird in der Ausgabe von pipenv graph nicht erwähnt

es kommt anscheinend vom bleach Paket, aber nicht von der installierten Version:

bleach [required: ==1.5.0, installed: 1.5.0]

vergleichen:
https://github.com/mozilla/bleach/blob/v1.5/setup.py

https://github.com/mozilla/bleach/blob/v2.1.3/setup.py

Ich habe den Tarball 1.5.0 von PyPI heruntergeladen , um

die setup.py enthält:

install_requires = [
    'six',
    # 3 9s up to but not including 8 9s, but not 4 9s or 5 9s because they're
    # busted
    'html5lib>=0.999,!=0.9999,!=0.99999,<0.99999999',
]

aber die Meta-Info auf der PyPI-Seite für das Paket zeigt die Anforderungen der neuesten Version (natürlich):

Erfordert Verteilungen
html5lib (!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.999999999pre)
sechs

irgendein Problem hier?

Lesen Sie den oben verlinkten Thread zum Thema Tensorboard weiter ...

Um die Sache noch weiter zu verwirren, hat pip eine eigene Version von html5lib
https://github.com/pypa/pip/blob/9.0.1/pip/_vendor/html5lib/__init__.py
https://github.com/pypa/pip/blob/9.0.1/pip/_vendor/vendor.txt

html5lib==1.0b10

Ich bin mir nicht sicher, ob das auf eine schreckliche Weise verwickelt ist

verwendest du das neueste?

Ich bin in der Pipenv-Shell meines Projekts

pipenv, version 11.6.1
pip 9.0.1
python 3.6

Metadaten im Bleichmittel 1.5.0 _wheel_ von PyPI sehen auch korrekt aus

der Konflikt berichtete:

Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre

scheint stattdessen genau den Anforderungen in der _neuesten_ (2.1.3) Version von Bleichmittel zu entsprechen

install_requires = [
    'six',
    # >= 8 9s because of breaking API change
    # the 'pre' suffix is needed for supporting '1.0b*' versions
    'html5lib>=0.99999999pre,!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8',
]

zur Anforderung von tensorboard hinzugefügt https://github.com/tensorflow/tensorboard/blob/0.1.8/tensorboard/pip_package/setup.py

REQUIRED_PACKAGES = [
    'numpy >= 1.11.0',
    'six >= 1.10.0',
    'protobuf >= 3.2.0',
    'werkzeug >= 0.11.10',
    'html5lib == 0.9999999',  # identical to 1.0b8
    'markdown >= 2.6.8',
    'bleach == 1.5.0',
]

Es scheint also etwas Seltsames zu geben, wenn die Anforderungen für Bleichmittel = = 1.5.0 festgelegt werden

Ich habe das gleiche Problem. pipenv install beschwert sich, dass die Abhängigkeiten cryptography<1.0,>=1.7.2,>=1.8.1,>=1.8.2,>=1.9 benötigen (was offensichtlich nie aufgelöst werden kann), aber ich kann keines meiner Pakete sehen, die cryptography<1.0 in pipenv graph benötigen. Ich weiß nicht, was ich tun soll, da es sich überhaupt nicht installieren lässt.

@skorokithakis bitte ein separates Thema öffnen

@anentropic hast du die neueste version von pipenv ausprobiert?

@anentropic bitte auch pipenv nicht von _inside_ der pipenv-Shell ausführen, das soll nicht funktionieren. Versuchen Sie es noch einmal von _außerhalb_ der Pipenv-Shell und lassen Sie uns wissen, ob sie immer noch kaputt ist

@techalchemy äh, ja, das ist es.

das ist buchstäblich das primäre Designprinzip hinter diesem Projekt

Ok, ich habe pipenv 11.6.1 aktualisiert --> 11.6.9

gleiches Problem

$ pipenv --version
pipenv, version 11.6.9
$ pipenv lock
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Ich kann nicht sagen, was mit diesen Versionsnummern los ist.

Ich kann Ihnen jedoch sagen, dass sich dies wahrscheinlich nicht so schnell ändern wird.

klar, ich suche weiter, wenn ich was finde

noch ein paar Details:

• Ich habe im Moment kein Pipfile.lock (es kann keins erstellen)
• Ich habe versucht, meine Pipenv-Shell zu deaktivieren, den zugehörigen virtualenv-Ordner zu löschen und pipenv install auszuführen (dh von vorne beginnen) ... dasselbe Problem

Ich kann auch mit einem Minimalbeispiel reproduzieren... in einer neuen Shell ein leeres Verzeichnis erstellen, das folgende Pipfile und pipenv install ausführen

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

tensorflow = "*"


[requires]

python_version = "3.6"

pipenv lock --verbose sollte etwas Licht ins Dunkel bringen

==0.9999999,>=0.99999999pre scheint mir unlösbar zu sein.

dieses Versionierungsschema ist einfach absurd

Der Punkt ist, dass die >=0.99999999pre Anforderung bleach==1.5.0 aber dieses Projekt in dieser Version gibt diese Abhängigkeit nicht an

Ich weiß nicht, woher pipenv oder die zugrunde liegenden Tools die Abhängigkeitsinformationen beziehen, liegt der PyPI-Server irgendwie?

Hier ist die ausführliche Ausgabe:

Locking [dev-packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:

Finding the best candidates:

Finding secondary dependencies:
------------------------------------------------------------
Result of round 1: stable, done

Locking [packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:
  tensorflow

Finding the best candidates:
  found candidate tensorflow==1.6.0 (constraint was <any>)

Finding secondary dependencies:
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26

New dependencies found in this round:
  adding ['absl-py', '>=0.1.6', '[]']
  adding ['astor', '>=0.6.0', '[]']
  adding ['gast', '>=0.2.0', '[]']
  adding ['grpcio', '>=1.8.6', '[]']
  adding ['numpy', '>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['tensorboard', '<1.7.0,>=1.6.0', '[]']
  adding ['termcolor', '>=1.1.0', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  gast>=0.2.0
  grpcio>=1.8.6
  numpy>=1.13.3
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate numpy==1.14.2 (constraint was >=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0)
  found candidate six==1.11.0 (constraint was >=1.10.0)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  absl-py==0.1.11           requires six
  wheel==0.30.0             requires -
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  termcolor==1.1.0          requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  protobuf==3.5.2           requires setuptools, six>=1.9
  gast==0.2.0               requires -
  astor==0.6.2              requires -
  numpy==1.14.2             requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  six==1.11.0               requires -

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '==0.9999999', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0,>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0,>=3.5.0.post1', '[]']
  adding ['six', '>=1.10.0,>=1.5.2,>=1.9', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
Removed dependencies in this round:
  removing ['numpy', '>=1.13.3', '[]']
  removing ['protobuf', '>=3.4.0', '[]']
  removing ['six', '>=1.10.0', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 2: not stable

                          ROUND 3
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib==0.9999999
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate html5lib==0.9999999 (constraint was ==0.9999999)
  found candidate markdown==2.6.11 (constraint was >=2.6.8)
  found candidate numpy==1.14.2 (constraint was >=1.12.0,>=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0,>=3.5.0.post1)
  found candidate six==1.11.0 (constraint was >=1.10.0,>=1.5.2,>=1.9)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate werkzeug==0.14.1 (constraint was >=0.11.10)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  numpy==1.14.2             requires -
  werkzeug==0.14.1          requires -
  absl-py==0.1.11           requires six
  html5lib==0.9999999       requires six>=1.9, webencodings
  gast==0.2.0               requires -
  bleach==1.5.0             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  protobuf==3.5.2           requires setuptools, six>=1.9
  markdown==2.6.11          requires -
  six==1.11.0               requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  astor==0.6.2              requires -
  termcolor==1.1.0          requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2

New dependencies found in this round:
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['webencodings', '', '[]']
Removed dependencies in this round:
  removing ['html5lib', '==0.9999999', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 3: not stable

                          ROUND 4
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  webencodings
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:
  tensorflow

Finding the best candidates:
  found candidate tensorflow==1.6.0 (constraint was <any>)

Finding secondary dependencies:
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26

New dependencies found in this round:
  adding ['absl-py', '>=0.1.6', '[]']
  adding ['astor', '>=0.6.0', '[]']
  adding ['gast', '>=0.2.0', '[]']
  adding ['grpcio', '>=1.8.6', '[]']
  adding ['numpy', '>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['tensorboard', '<1.7.0,>=1.6.0', '[]']
  adding ['termcolor', '>=1.1.0', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  gast>=0.2.0
  grpcio>=1.8.6
  numpy>=1.13.3
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate numpy==1.14.2 (constraint was >=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0)
  found candidate six==1.11.0 (constraint was >=1.10.0)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  astor==0.6.2              requires -
  six==1.11.0               requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  numpy==1.14.2             requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  wheel==0.30.0             requires -
  protobuf==3.5.2           requires setuptools, six>=1.9
  termcolor==1.1.0          requires -
  absl-py==0.1.11           requires six
  gast==0.2.0               requires -

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '==0.9999999', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0,>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0,>=3.5.0.post1', '[]']
  adding ['six', '>=1.10.0,>=1.5.2,>=1.9', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
Removed dependencies in this round:
  removing ['numpy', '>=1.13.3', '[]']
  removing ['protobuf', '>=3.4.0', '[]']
  removing ['six', '>=1.10.0', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 2: not stable

                          ROUND 3
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib==0.9999999
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate html5lib==0.9999999 (constraint was ==0.9999999)
  found candidate markdown==2.6.11 (constraint was >=2.6.8)
  found candidate numpy==1.14.2 (constraint was >=1.12.0,>=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0,>=3.5.0.post1)
  found candidate six==1.11.0 (constraint was >=1.10.0,>=1.5.2,>=1.9)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate werkzeug==0.14.1 (constraint was >=0.11.10)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  protobuf==3.5.2           requires setuptools, six>=1.9
  html5lib==0.9999999       requires six>=1.9, webencodings
  gast==0.2.0               requires -
  bleach==1.5.0             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  markdown==2.6.11          requires -
  termcolor==1.1.0          requires -
  astor==0.6.2              requires -
  numpy==1.14.2             requires -
  six==1.11.0               requires -
  absl-py==0.1.11           requires six
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  wheel==0.30.0             requires -
  werkzeug==0.14.1          requires -

New dependencies found in this round:
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['webencodings', '', '[]']
Removed dependencies in this round:
  removing ['html5lib', '==0.9999999', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 3: not stable

                          ROUND 4
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  webencodings
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Schauen Sie, wir werden nichts dagegen tun können.

versuche 11.8.0

Erfolg!

Ich glaube, ich habe einen ähnlichen Fehler bei django und django_pyodbc_azure gefunden. Ich muss Versionen <2 installieren, also führe ich diesen Befehl aus:

pipenv install django<2 django-pyodbc-azure<2

Hier ist was ich bekomme:

Installing django<2…
Collecting django<2
  Using cached Django-1.11.11-py2.py3-none-any.whl
Collecting pytz (from django<2)
  Using cached pytz-2018.3-py2.py3-none-any.whl
Installing collected packages: pytz, django
Successfully installed django-1.11.11 pytz-2018.3

Adding django<2 to Pipfile's [packages]…
Installing django-pyodbc-azure<2…
Collecting django-pyodbc-azure<2
  Using cached django_pyodbc_azure-1.11.11.0-py2.py3-none-any.whl
Collecting pyodbc>=3.0 (from django-pyodbc-azure<2)
  Using cached pyodbc-4.0.22-cp36-cp36m-win_amd64.whl
Requirement already satisfied: Django<2.0,>=1.11.11 in c:\users\msopko\.virtualenvs\kml_internal--4e53ydp\lib\site-packages (from django-pyodbc-azure<2)
Requirement already satisfied: pytz in c:\users\msopko\.virtualenvs\kml_internal--4e53ydp\lib\site-packages (from Django<2.0,>=1.11.11->django-pyodbc-azure<2)
Installing collected packages: pyodbc, django-pyodbc-azure
Successfully installed django-pyodbc-azure-1.11.11.0 pyodbc-4.0.22

Adding django-pyodbc-azure<2 to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches django<2,<2.1,>=2.0.3
Tried: 1.1.3, 1.1.4, 1.2, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.2.6, 1.2.7, 1.3, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.3.6, 1.3.7, 1.4, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5, 1.4.6, 1.4.7, 1.4.8, 1.4.9, 1.4.10, 1.4.11, 1.4.12, 1.4.13, 1.4.14, 1.4.15, 1.4.16, 1.4.17, 1.4.18, 1.4.19, 1.4.20, 1.4.21, 1.4.22, 1.5, 1.5.1, 1.5.2, 1.5.2, 1.5.3, 1.5.4, 1.5.5, 1.5.6, 1.5.7, 1.5.8, 1.5.8, 1.5.9, 1.5.10, 1.5.11, 1.5.12, 1.5.12, 1.6, 1.6, 1.6.1, 1.6.1, 1.6.2, 1.6.2, 1.6.3, 1.6.3, 1.6.4, 1.6.4, 1.6.5, 1.6.5, 1.6.6, 1.6.6, 1.6.7, 1.6.7, 1.6.8, 1.6.8, 1.6.9, 1.6.9, 1.6.10, 1.6.10, 1.6.11, 1.6.11, 1.7, 1.7, 1.7.1, 1.7.1, 1.7.2, 1.7.2, 1.7.3, 1.7.3, 1.7.4, 1.7.4, 1.7.5, 1.7.5, 1.7.6, 1.7.6, 1.7.7, 1.7.7, 1.7.8, 1.7.8, 1.7.9, 1.7.9, 1.7.10, 1.7.10, 1.7.11, 1.7.11, 1.8a1, 1.8b1, 1.8b2, 1.8rc1, 1.8, 1.8, 1.8.1, 1.8.1, 1.8.2, 1.8.2, 1.8.3, 1.8.3, 1.8.4, 1.8.4, 1.8.5, 1.8.5, 1.8.6, 1.8.6, 1.8.7, 1.8.7, 1.8.8, 1.8.8, 1.8.9, 1.8.9, 1.8.10, 1.8.10, 1.8.11, 1.8.11, 1.8.12, 1.8.12, 1.8.13, 1.8.13, 1.8.14, 1.8.14, 1.8.15, 1.8.15, 1.8.16, 1.8.16, 1.8.17, 1.8.17, 1.8.18, 1.8.18, 1.8.19, 1.8.19, 1.9a1, 1.9b1, 1.9rc1, 1.9rc2, 1.9, 1.9, 1.9.1, 1.9.1, 1.9.2, 1.9.2, 1.9.3, 1.9.3, 1.9.4, 1.9.4, 1.9.5, 1.9.5, 1.9.6, 1.9.6, 1.9.7, 1.9.7, 1.9.8, 1.9.8, 1.9.9, 1.9.9, 1.9.10, 1.9.10, 1.9.11, 1.9.11, 1.9.12, 1.9.12, 1.9.13, 1.9.13, 1.10a1, 1.10a1, 1.10b1, 1.10b1, 1.10rc1, 1.10rc1, 1.10, 1.10, 1.10.1, 1.10.1, 1.10.2, 1.10.2, 1.10.3, 1.10.3, 1.10.4, 1.10.4, 1.10.5, 1.10.5, 1.10.6, 1.10.6, 1.10.7, 1.10.7, 1.10.8, 1.10.8, 1.11a1, 1.11b1, 1.11rc1, 1.11rc1, 1.11, 1.11, 1.11.1, 1.11.1, 1.11.2, 1.11.2, 1.11.3, 1.11.3, 1.11.4, 1.11.4, 1.11.5, 1.11.5, 1.11.6, 1.11.6, 1.11.7, 1.11.7, 1.11.8, 1.11.8, 1.11.9, 1.11.9, 1.11.10, 1.11.10, 1.11.11, 1.11.11, 2.0a1, 2.0b1, 2.0rc1, 2.0, 2.0, 2.0.1, 2.0.1, 2.0.2, 2.0.2, 2.0.3, 2.0.3

Ich habe diesen Fehler umgangen, indem ich den Zweig angegeben habe:
django-pyodbc-azure = {git = "https://github.com/michiya/django-pyodbc-azure", ref = "azure-1.11"}

Ich habe auf 11.8.0 aktualisiert, habe aber immer noch das gleiche Problem

mein Kollege konnte es jedoch nicht aus meinem Minimalbeispiel reproduzieren

Ich debugge gerade und werde weitere Informationen posten, wenn ich welche habe

ok das ist komisch

Ich habe es zum Laufen gebracht durch:

$ pyenv virtualenv pipenvtemp
$ pyenv activate pipenvtemp
pipenvtemp > $ pip install pipenv
pipenvtemp > $ pipenv lock

Dies hat jetzt jedoch meine 'äußere' Installation von pipenv gebrochen:

pipenvtemp > $ source deactivate
$ pipenv lock
pyenv: pipenv: command not found

The `pipenv' command exists in these Python versions:
  2.7.11/envs/pipenvtemp
  pipenvtemp

$ pipsi install pipenv
pipenv is already installed

Also habe ich eine schreckliche Interaktion zwischen pyenv-virtualenv, pipsi und pipenv auf meinem System

Ich dachte, ich hätte die Installationsanweisungen genau befolgt, aber vielleicht war der vorhandene Zustand meines Systems nicht kompatibel

Ich denke, jetzt muss ich versuchen, alle meine Pythons wegzublasen und meine Entwicklungsumgebung von Grund auf neu einzurichten 😢

Oh, es ist irgendwie spezifisch für Python 3, ich habe den obigen pyenv-virtualenv-Trick mit meinem tatsächlichen Projekt ausprobiert und es hat nicht funktioniert.

Und wenn ich es noch einmal mit dem Minimalbeispiel versuche, aber Python 3.6.4 statt 2.7 verwende, dann funktioniert es nicht:

$ pyenv virtualenv 3.6.4 pipenvtemp-py3
$ pyenv activate pipenvtemp-py3
pipenvtemp-py3 > $ pip install pipenv
pipenvtemp-py3 > $ rm Pipfile.lock
pipenvtemp-py3 > $ pipenv lock
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project.
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

@anentropic deinstallieren --user

Nun, ich habe das Problem und eine Lösung gefunden, wenn nicht eine Erklärung dafür, wie es passiert ist.

Ich habe eine Weile damit verbracht, den zugrunde liegenden Code durchzugehen, dh

from pipenv.patched.piptools.repositories import PyPIRepository
from pipenv.patched.piptools.scripts.compile import get_pip_command
from pipenv.patched.notpip.req.req_install import InstallRequirement
from pipenv.patched.piptools.resolver import Resolver

pip_command = get_pip_command()
pip_options, _ = pip_command.parse_args([])
session = pip_command._build_session(pip_options)
pypi = PyPIRepository(pip_options=pip_options, use_json=False, session=session)

# first observe that this returns correct constraints:
ireq = InstallRequirement.from_line('bleach==1.5.0')
pypi.get_dependencies(ireq)
{<InstallRequirement object: six (from bleach==1.5.0) editable=False>,
 <InstallRequirement object: html5lib!=0.9999,!=0.99999,<0.99999999,>=0.999 (from bleach==1.5.0) editable=False>}

# I added the following breakpoint at pipenv/patched/piptools/resolver.py:200
            if str(best_match.req) == 'bleach==1.5.0':
                import ipdb; ipdb.set_trace()

# then ran the resolver:
ireq = InstallRequirement.from_line('tensorflow==1.3.0')
resolver = Resolver(constraints=[ireq], repository=pypi)
resolver.resolve()

# stepping through we fail this check, showing that 'html5lib' is already in the cache
    if ireq not in self.dependency_cache:

# so next it fetches dep from cache:
ipdb> pp self.dependency_cache[ireq]
['html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre',
 'six']
# aha!
ipdb> self.dependency_cache._cache_file
'/Users/anentropic/Library/Caches/pipenv/depcache-py3.6.json'

Irgendwie war die falsche html5lib>=0.99999999pre Anforderung in der Abhängigkeits-Cache-Datei stecken geblieben.

Jetzt wusste ich was zu tun war...

pipenvtemp-py3 $ rm /Users/anentropic/Library/Caches/pipenv/depcache-py3.6.json
pipenvtemp-py3 $ pipenv lock
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project.
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Erfolg - Sperrdatei wurde ohne Fehler erstellt.

Dies erklärt auch, warum es unter Python 2.7 funktioniert hat - ich nehme an, weil pipenv eine separate Abhängigkeits-Cache-Datei pro Python-Version hat.

@anentropic danke für das Update! Wir hätten das direkt empfehlen sollen, Fehler. Ich bin froh, dass Sie es behoben haben!

@anentropic @techalchemy Ich /Users/.../Library/Caches/pipenv/depcache-py3.6.json hat mir nicht geholfen. Irgendwelche Vorschläge, was ich noch versuchen kann? Danke!

  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==1.0b8,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

@henadzit Bitte geben Sie Informationen für Ihre Plattform an. Öffnen Sie ein neues Problem, um zu sehen, welche Informationen zum Debuggen Ihres Problems erwartet werden. Sie müssen keine neue Ausgabe einreichen, sondern lediglich die Felder überprüfen und hier entsprechend angeben.

@uranusjr ,

Pipenv-Version: '11.9.0'

Pipenv-Standort: '/Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/lib/python3.6/site-packages/pipenv'

Python-Speicherort: '/Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python'

Andere Python-Installationen in PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3.6m
• 3.6 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

PEP 508-Informationen:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Systemumgebungsvariablen:

• TERM_PROGRAM
• PIP_PYTHON_PATH
• TERM
• SHELL
• TMPDIR
• DOCKER_HOST
• Apple_PubSub_Socket_Render
• PYTHONUNBUFFERED
• TERM_PROGRAM_VERSION
• TERM_SESSION_ID
• USER
• DOCKER_MACHINE_NAME
• CPATH
• SSH_AUTH_SOCK
• __CF_USER_TEXT_ENCODING
• VIRTUAL_ENV
• DOCKER_TLS_VERIFY
• PIPENV_ACTIVE
• PATH
• PWD
• JAVA_HOME
• LETSENCRYPT_CERTS_FOLDER
• LANG
• DOPEOPLESAY_WEB_SECRET_KEY_BASE
• ITERM_PROFILE
• XPC_FLAGS
• PS1
• PYTHONDONTWRITEBYTECODE
• RBENV_SHELL
• XPC_SERVICE_NAME
• PYENV_SHELL
• DOCKER_CERT_PATH
• SHLVL
• HOME
• COLORFGBG
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• _

Pipenv-spezifische Umgebungsvariablen:

• PIPENV_ACTIVE : 1

Debug-spezifische Umgebungsvariablen:

• PATH : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin:/usr/local/Cellar/pipenv/11.9.0/libexec/tools:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver:/Users/henadzit/.rvm/bin
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/dopeoplesayit
• VIRTUAL_ENV : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf

Inhalt von Pipfile ('/Users/henadzit/workspace/dopeoplesayit/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

falcon = "==1.3.0"
gunicorn = "==19.7.1"
hunspell = "==0.5.0"
nltk = "==3.2.4"
pysolr = "==3.7.0"
pytest = "==3.1.2"
pytest-mock = "==1.6.3"
requests = "==2.18.4"


[dev-packages]

jupyter = "*"
spacy = "*"
matplotlib = "*"


[requires]

python_version = "3.6.4"

@uranusjr , Entschuldigung, dass ich Sie belästigt habe, aber hatten Sie die Möglichkeit, sich die Ausgabe in meinem vorherigen Kommentar anzusehen? Vielen Dank!

@henadzit aktivieren Sie pipenv shell bevor Sie die Abhängigkeitsauflösung ausführen. Versuchen Sie von _außerhalb_ der Pipenv-Shell aus pipenv lock --verbose --clear und prüfen Sie, ob das Problem dadurch behoben wird

@techalchemy , danke für den Vorschlag! Ich habe es versucht, bin aber leider mit dem gleichen Fehler gelandet.

Hier ist die Ausgabe von pipenv.help ohne pipenv shell .

Pipenv-Version: '11.9.0'

Pipenv-Standort: '/Users/henadzit/.pyenv/versions/3.6.4/lib/python3.6/site-packages/pipenv'

Python-Speicherort: '/Users/henadzit/.pyenv/versions/3.6.4/bin/python'

Andere Python-Installationen in PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3.6m
• 3.6 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

PEP 508-Informationen:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Systemumgebungsvariablen:

• TERM_PROGRAM
• PYENV_ROOT
• SHELL
• TERM
• TMPDIR
• Apple_PubSub_Socket_Render
• DOCKER_HOST
• TERM_PROGRAM_VERSION
• TERM_SESSION_ID
• PYENV_VERSION
• USER
• DOCKER_MACHINE_NAME
• SSH_AUTH_SOCK
• CPATH
• PYENV_DIR
• __CF_USER_TEXT_ENCODING
• DOCKER_TLS_VERIFY
• PATH
• PWD
• JAVA_HOME
• LANG
• ITERM_PROFILE
• PYENV_HOOK_PATH
• XPC_FLAGS
• RBENV_SHELL
• XPC_SERVICE_NAME
• COLORFGBG
• HOME
• SHLVL
• DOCKER_CERT_PATH
• PYENV_SHELL
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• PYTHONDONTWRITEBYTECODE
• PIP_PYTHON_PATH
• PYTHONUNBUFFERED

Pipenv-spezifische Umgebungsvariablen:

Debug-spezifische Umgebungsvariablen:

• PATH : /Users/henadzit/.pyenv/versions/3.6.4/bin:/usr/local/Cellar/pyenv/1.2.2/libexec:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/dopeoplesayit

Inhalt von Pipfile ('/Users/henadzit/workspace/dopeoplesayit/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

falcon = "==1.3.0"
gunicorn = "==19.7.1"
hunspell = "==0.5.0"
nltk = "==3.2.4"
pysolr = "==3.7.0"
pytest = "==3.1.2"
pytest-mock = "==1.6.3"
requests = "==2.18.4"


[dev-packages]

jupyter = "*"
spacy = "*"
matplotlib = "*"


[requires]

python_version = "3.6.4"

🤔 Versuchen Sie , das gesamte Cache-Verzeichnis manuell zu entfernen .

@henadzit versuche pipenv lock --clear oder lösche eines der folgenden Verzeichnisse, falls vorhanden:

/Users/.../Library/Caches/pipenv
/Users/.../Library/Caches/pip-tools
/Users/.../Library/Caches/pip

@uranusjr @techalchemy , danke, dass du versucht hast, mir zu helfen! Ich habe alles versucht, was Sie vorgeschlagen haben, aber kein Glück. Ich habe ein neues Pipfile mit nur zwei Paketen erstellt und erhalte den gleichen Fehler. Unten ist die Ausgabe von pipenv.help . Ich bin im Begriff, diese PIpfile im Docker auszuführen, um zu sehen, ob es nur meine Umgebung ist.

Pipenv-Version: '11.9.0'

Pipenv-Standort: '/usr/local/Cellar/pipenv/11.9.0/libexec/lib/python3.6/site-packages/pipenv'

Python-Speicherort: '/usr/local/Cellar/pipenv/11.9.0/libexec/bin/python3'

Andere Python-Installationen in PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/anaconda3/bin/python3.6m
• 3.6 : /Users/henadzit/anaconda3/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/anaconda3/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/anaconda3/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

PEP 508-Informationen:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Systemumgebungsvariablen:

• TERM_PROGRAM
• TERM
• SHELL
• TMPDIR
• DOCKER_HOST
• Apple_PubSub_Socket_Render
• TERM_PROGRAM_VERSION
• OLDPWD
• TERM_SESSION_ID
• USER
• LD_LIBRARY_PATH
• DOCKER_MACHINE_NAME
• CPATH
• SSH_AUTH_SOCK
• __CF_USER_TEXT_ENCODING
• DOCKER_TLS_VERIFY
• PATH
• PWD
• JAVA_HOME
• LANG
• ITERM_PROFILE
• XPC_FLAGS
• RBENV_SHELL
• XPC_SERVICE_NAME
• PYENV_SHELL
• DOCKER_CERT_PATH
• SHLVL
• HOME
• COLORFGBG
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• _
• PYTHONDONTWRITEBYTECODE
• PIP_PYTHON_PATH
• PYTHONUNBUFFERED

Pipenv-spezifische Umgebungsvariablen:

Debug-spezifische Umgebungsvariablen:

• PATH : /Users/henadzit/anaconda3/bin:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver:/Users/henadzit/workspace/torch/install/bin
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/pipenv-html5lib-issue

Inhalt von Pipfile ('/Users/henadzit/workspace/pipenv-html5lib-issue/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]
jupyter = "==1.0.0"
spacy = "==2.0.10"

[dev-packages]

[requires]

python_version = "3.6.4"

@uranusjr @techalchemy , sieht so aus, als ob das Problem nicht mit meiner Umgebung zusammenhängt. Ich konnte das Problem in der völlig sauberen Umgebung von Docker reproduzieren. Ich habe ein Repo erstellt, um das Problem zu zeigen, bitte schauen Sie bei Gelegenheit nach - https://github.com/henadzit/pipenv-html5lib-issue.

@henadzit Ihre Abhängigkeiten werden tatsächlich nicht aufgelöst. Dies ist ein Problem mit spaCy: https://github.com/explosion/spaCy/issues/2181.

@henadzit Da spaCy seine erforderliche Version in 2.0.11 entfernt, fühlte es sich richtiger an, die TensorFlow-Version zu verwenden. Ich bin mir nicht sicher, was der kanonische Weg ist, aber ich habe nur (vorübergehend, hoffe ich) Tensorflow aus meinem Pipfile gezogen und meine Pakete wie folgt installiert:

pipenv install
pip install tensorflow

@romanczuk , ich habe Spacy aktualisiert und das Problem wurde behoben! Vielen Dank für Ihre Hilfe!

Bei mir besteht das Problem weiterhin. Ich versuche sowohl tensorflow als auch jupyter[notebook] zu installieren. Während erstere bleach==1.5.0 anheftet, hat letztere eine transitive nicht angeheftete Abhängigkeit von bleach . Diese Abhängigkeit scheint die Einschränkung >=0.99999999pre .

Ich kann das Verhalten wiederherstellen, indem ich versuche, Bleichmittel (nicht angeheftet) und Tensorboard (das die Bleichmittelversion anheftet) zu installieren:

pipenv install bleach tensorboard
Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing bleach…
Collecting bleach
  Using cached bleach-2.1.3-py2.py3-none-any.whl
Collecting six (from bleach)
  Using cached six-1.11.0-py2.py3-none-any.whl
Collecting html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre (from bleach)
  Using cached html5lib-1.0.1-py2.py3-none-any.whl
Collecting webencodings (from html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre->bleach)
  Using cached webencodings-0.5.1-py2.py3-none-any.whl
Installing collected packages: six, webencodings, html5lib, bleach
Successfully installed bleach-2.1.3 html5lib-1.0.1 six-1.11.0 webencodings-0.5.1

Adding bleach to Pipfile's [packages]…
Installing tensorboard…
Collecting tensorboard
  Using cached tensorboard-1.7.0-py3-none-any.whl
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Using cached Werkzeug-0.14.1-py2.py3-none-any.whl
Collecting bleach==1.5.0 (from tensorboard)
  Using cached bleach-1.5.0-py2.py3-none-any.whl
Collecting numpy>=1.12.0 (from tensorboard)
  Using cached numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Collecting markdown>=2.6.8 (from tensorboard)
  Using cached Markdown-2.6.11-py2.py3-none-any.whl
Collecting protobuf>=3.4.0 (from tensorboard)
  Using cached protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Requirement already satisfied: six>=1.10.0 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting html5lib==0.9999999 (from tensorboard)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Installing collected packages: werkzeug, html5lib, bleach, numpy, markdown, protobuf, tensorboard
  Found existing installation: html5lib 1.0.1
    Uninstalling html5lib-1.0.1:
      Successfully uninstalled html5lib-1.0.1
  Found existing installation: bleach 2.1.3
    Uninstalling bleach-2.1.3:
      Successfully uninstalled bleach-2.1.3
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Beim Ausführen von install --skip-lock und graph gibt es keine Anzeichen für diese Einschränkung:

$ pipenv install bleach tensorboard --skip-lock
...

$ pipenv graph | grep html5lib
    - html5lib [required: >=0.999,!=0.9999,!=0.99999,<0.99999999, installed: 0.9999999]
  - html5lib [required: ==0.9999999, installed: 0.9999999]

$ pipenv graph | grep bleach
  - bleach [required: ==1.5.0, installed: 1.5.0]

Das Entfernen der Cache-Verzeichnisse ändert das Verhalten nicht. Ich verwende pipenv Version 11.8.0 . Es scheint eine Interaktion mit dem globalen Staat zu geben. Auf der Suche nach einem Minimalbeispiel habe ich das obige Setup mehrmals ausprobiert. Bei einem Durchlauf hat das Sperren funktioniert. Dieses Verhalten konnte ich jedoch nicht reproduzieren.

Weitere Details:

$ pipenv --version
pipenv, version 11.8.0

$ pipenv graph
tensorboard==1.7.0
  - bleach [required: ==1.5.0, installed: 1.5.0]
    - html5lib [required: !=0.99999,!=0.9999,>=0.999,<0.99999999, installed: 0.9999999]
      - six [required: Any, installed: 1.11.0]
    - six [required: Any, installed: 1.11.0]
  - html5lib [required: ==0.9999999, installed: 0.9999999]
    - six [required: Any, installed: 1.11.0]
  - markdown [required: >=2.6.8, installed: 2.6.11]
  - numpy [required: >=1.12.0, installed: 1.14.2]
  - protobuf [required: >=3.4.0, installed: 3.5.2.post1]
    - setuptools [required: Any, installed: 39.0.1]
    - six [required: >=1.9, installed: 1.11.0]
  - six [required: >=1.10.0, installed: 1.11.0]
  - werkzeug [required: >=0.11.10, installed: 0.14.1]
  - wheel [required: >=0.26, installed: 0.31.0]
webencodings==0.5.1


$ cat Pipfile 
[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

bleach = "*"
tensorboard = "*"


[dev-packages]



[requires]

python_version = "3.6"

$ pipenv lock --clear --verbose
Locking [dev-packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:

Finding the best candidates:

Finding secondary dependencies:
------------------------------------------------------------
Result of round 1: stable, done

Locking [packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:
  bleach
  tensorboard

Finding the best candidates:
  found candidate bleach==2.1.3 (constraint was <any>)
  found candidate tensorboard==1.7.0 (constraint was <any>)

Finding secondary dependencies:
  tensorboard==1.7.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  bleach==2.1.3             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2                           
Current constraints:
  bleach==1.5.0
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:
  bleach
  tensorboard

Finding the best candidates:
  found candidate bleach==2.1.3 (constraint was <any>)
  found candidate tensorboard==1.7.0 (constraint was <any>)

Finding secondary dependencies:
  bleach==2.1.3             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  tensorboard==1.7.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2                           
Current constraints:
  bleach==1.5.0
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate bleach==1.5.0 (constraint was ==1.5.0)

INFO:pip9._vendor.requests.packages.urllib3.connectionpool:Starting new HTTPS connection (1): pypi.python.org
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Okay, wenn man sich das genau ansieht, ist dies ein legitimer Abhängigkeitskonflikt. html5lib>=0.99999999pre ist eine größere Zahl als html5lib==0.9999999 daher kann dies nicht wirklich gelöst werden. Setzen Sie einfach Tensorboard in den Abschnitt dev-packages und pipenv install —dev — pipenv wird auf diese Weise die Nicht-Entwickler-Auflösung bevorzugen

Danke für die Problemumgehung. Ich werde es versuchen.

Was mich verwirrt: Warum kommt html5lib>=0.99999999pre überhaupt als Einschränkung vor? Tensorboard behebt bleach==1.5.0 . Daher sollte das zusätzliche bleach Paket, das an pipenv install das Abhängigkeitsdiagramm nicht beeinflussen, oder?

Konkret: Angesichts der Tatsache, dass Tensorboard bleach==1.5.0 behebt, würde ich erwarten, dass der Abhängigkeitsgraph für diese beiden Aufrufe genau gleich ist:

pipenv install tensorboard

pipenv install bleach tensorboard

Das liegt daran, dass Sie es zuerst aufgelistet haben. Was könnte behoben werden, wenn Sie die Reihenfolge ändern? Nicht sicher. Probiere das auch aus und lass es mich wissen

Wenn ich der Befehlszeile Bleichmittel hinzufüge, schlägt es fehl (erste beiden Optionen). Wenn ich nur Tensorboard installiere, funktioniert es (letzte Option). Die Pipenv-Ausgabe befindet sich in den Detailblöcken.

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile 
$ pipenv install tensorboard bleach

# fails

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting six>=1.10.0 (from tensorboard)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: six, html5lib, werkzeug, markdown, numpy, protobuf, bleach, tensorboard
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 six-1.11.0 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Installing bleach…
Requirement already satisfied: bleach in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages
Requirement already satisfied: six in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from bleach)
Requirement already satisfied: html5lib!=0.9999,!=0.99999,<0.99999999,>=0.999 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from bleach)

Adding bleach to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile
$ pipenv install bleach tensorboard 

# fails

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing bleach…
Collecting bleach
  Downloading bleach-2.1.3-py2.py3-none-any.whl
Collecting html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre (from bleach)
  Downloading html5lib-1.0.1-py2.py3-none-any.whl (117kB)
Collecting six (from bleach)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting webencodings (from html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre->bleach)
  Downloading webencodings-0.5.1-py2.py3-none-any.whl
Installing collected packages: six, webencodings, html5lib, bleach
Successfully installed bleach-2.1.3 html5lib-1.0.1 six-1.11.0 webencodings-0.5.1

Adding bleach to Pipfile's [packages]…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: six>=1.10.0 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: werkzeug, markdown, html5lib, bleach, numpy, protobuf, tensorboard
  Found existing installation: html5lib 1.0.1
    Uninstalling html5lib-1.0.1:
      Successfully uninstalled html5lib-1.0.1
  Found existing installation: bleach 2.1.3
    Uninstalling bleach-2.1.3:
      Successfully uninstalled bleach-2.1.3
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock (d84f24) out of date, updating to (930330)…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile 
$ pipenv install tensorboard

# works

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting six>=1.10.0 (from tensorboard)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: markdown, six, html5lib, bleach, numpy, werkzeug, protobuf, tensorboard
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 six-1.11.0 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…
Updated Pipfile.lock (d84f24)!
Installing dependencies from Pipfile.lock (d84f24)…
  🐍   ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 9/9 — 00:00:04
To activate this project's virtualenv, run the following:
 $ pipenv shell

@techalchemy Nochmals vielen Dank für die